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PSF Fellow Nominations

PSF Fellow Nominations are added to this page. Please send your nomination to psf-fellow@python.org .

More info about the nomination process can be found here: https://www.python.org/psf/fellows/

Nominations

Please add new nominations here and also post them to the psf-members mailing list.

Example Entry: Joe User

I, John Doe, propose that Joe User be recognized as a Fellow of the Python Software Foundation, due to his significant contributions to the Python community as a co-founder of the PyCon Foobar regional conference, a lead organizer for the 2011 and 2012 editions of the Marsian Python community's flagship Python conference, MarsPython and as a long-term contributor to international collaborative efforts amongst the Marsian Python community.

2025 Q4 Nominations

Aritra Pal

I, Anna Wronka, propose that Aritra Pal be recognized as a Fellow of Python Software Foundation. I write this in the capacity of a Director at First Citizens Bank with Aritra Pal reporting directly to me. Being one of the fastest growing banks in the US, First Citizens relies heavily on automation to ensure efficient & coherent operations. Over the years, Aritra has been instrumental in creating critical finance based and complex modelling applications through Python. These applications are critical to the daily and strategic operations of the bank, as many of them are based on regulatory requirements. For these applications, Aritra has ensured not only the correct functionality but also the critical security aspects, through application of encryption-based login details, timeout based features etc. Additionally Aritra has been instrumental in setting up the Python infrastructure from scratch, including AZDO repository and code pipeline, creating and setting up custom libraries and utilities to enable sharing by multiple teams, setting up different environments and creating guardrails, such as package formats, automated test scripts and detailed documentation to ensure all Python implementation and use adhere to the best practices and are thoroughly tested. Post setup, Aritra has contributed towards multiple training sessions with the team and beyond to ensure a wider Python adoption within the bank, with the goal of seamless new user onboarding while ensuring that users are aligned with the established best practices and guardrails.

As an ongoing proponent of Python use in the bank, Aritra plays an active role in timely reviewing the Python utilities and custom functions, to ensure that the custom utilities and functions gets updated with the latest user requirements, updating the python wiki/guide while championing the use of Python and onboarding more users within the Python fold. Aritra also constantly attempts to find key areas of improvement, for e.g. establishing use of polars based dataframes and operations for heavy database related activities to improve processing times for users etc. Aritra has also been instrumental in addressing known security vulnerabilities for certain python libraries in coordination with the IT infrastructure team.

Lastly, in order to enable the acceptance of Python within the team and bank, Aritra has also been instrumental in enabling code translations to Python, with one of the key examples being converting a key R based modelling application to Python with updated features, thus establishing a more diverse and rich Python base ecosystem within the bank.

All the above efforts have led to a much wider adoption of Python within the bank through ease of onboarding and cross-sharing of applications between the different teams. I believe this nomination to be the next key logical step in Aritra's career aspirations which will enable him to connect with like-minded enthusiasts and help usher in those learnings/advancements to our team and the bank as a whole.

Inessa Pawson

Selected in Q4 of 2025

I, Noa Tamir, propose that Inessa Pawson be recognized as a Fellow of the Python Software Foundation, due to her significant and consistent contributions to the Python community as:

- NumPy Steering Council member (2021 - present) and key contributor (2019 - present) - Scientific Python Project SPEC Steering Committee member and contributor (2022 - present) - Maintainers Summit at PyCon US organizer (2020 - present) - SciPy conference organizer (2020 - present) - PyLadies South Florida founder and organizer (2019 - present) - PySWFL founder and organizer (2020 - present) - pyOpenSci Advisory Board member (2023 - present) - CHAOSS Science and Research Working Group co-chair (2023 - present)

Her contributions and achievements were previously recognized by: 2019 NumPy New Contributor Award 2024 NumFOCUS Community Leadership Award

Mia Bajić

Selected in Q4 of 2025

I, Cristián Maureira-Fredes, nominate Mia Bajić for her exhaustive contributions to the Python community, specifically focusing on the Czechia community and EuroPython conference. Mia has been the main organizer of the Prague Python meetups since 2021, organized a Python Pizza event in 2024, and was in charge of many tasks during PyCon CZ 2023 including speaker management, media communications, and web development. Mia also joined the EuroPython conference as an organizer in 2023, 2024 and 2025, taking care of PyLadies events,workshops, speaker dinner, communication, design, programme, and many more things. She joined the EuroPython Society board in 2024 and has been there since.

Besides all the organizing she is doing, she has been also a speaker in many conferences including PyCon US, PyCon UK, PyCon FR, PyCon Namibia, PyCon IE, PyCon CZ, EuroPython, and many others.

Mia is a person focused on having a conference that includes many people, paying attention on how to push for underrepresented groups in different communities, and highlighting people that deserve some recognition. She is very good at taking ownership and being accountable for all her responsibilities, which is not a very common trait in the different communities that I have been around.

Rakesh Mittapally

I, Hemachandra Ayodhya, Senior Manager at AARP with over 20 years of experience in the IT industry, proudly nominate Rakesh Mittapally to be recognized as a Fellow of the Python Software Foundation, in honor of his exceptional contributions to Python-driven innovation within AARP and the broader technology community. Rakesh has led numerous initiatives leveraging Python for infrastructure automation, cloud optimization, and data analytics modernization. His work includes developing custom Python scripts to streamline AWS operations, automate disaster recovery, and enhance BI platform performance—resulting in improved system reliability and reduced operational costs. He also served as a lead speaker at the 7th International Conference on Communication and Computational Technologies, where he presented advanced Python concepts such as context managers, error handling, file operations, and asynchronous programming. Rakesh’s leadership in integrating Python with platforms like MicroStrategy, Tableau, and AWS has empowered teams to adopt scalable, maintainable solutions while fostering a culture of data-driven decision-making. His contributions reflect a strong commitment to technical excellence, knowledge sharing, and community impact. I strongly recommend Rakesh Mittapally for Fellow membership based on his technical expertise, thought leadership, and continued innovation in the Python ecosystem.

--

I, Thiyaghu Muthuswamy, AWS Principal Architect at AARP with over 21 years of experience in the information technology industry, am honored to nominate Mr. Rakesh Mittapally for recognition as a Fellow of the Python Software Foundation.Having worked closely with Rakesh, I have witnessed firsthand the depth, breadth, and impact of his contributions to the Python ecosystem—both within AARP and across the broader technology community. His technical expertise, leadership, and unwavering commitment to open-source principles have made him a driving force in promoting Python as a tool for innovation, education, and collaboration.

Rakesh exemplifies the spirit of the PSF Fellowship through his sustained technical excellence, community-oriented mindset, and forward-looking innovation. His work has consistently demonstrated how Python can be leveraged not only as a programming language but as a strategic enabler of enterprise transformation. At AARP, Rakesh has led the design and implementation of Python-based automation frameworks that have significantly improved operational efficiency, reduced manual overhead, and enhanced the scalability of our cloud-native data platforms.

His expertise spans a wide array of advanced Python concepts, including but not limited to:

• Decorators and metaprogramming techniques for dynamic behavior injection

• Concurrency and parallelism models for high-throughput data processing

• Descriptors and the protocol for custom attribute management

• Context managers and the statement for resource-safe execution

• Metaclass programming for framework-level extensibility

• Deep understanding of memory management and Python object internals

These capabilities have been instrumental in architecting robust, maintainable, and high-performance systems that support mission-critical workloads at scale.

Beyond his technical acumen, Rakesh is a recognized thought leader and mentor. He has authored internal best practice guides on Python development, conducted workshops on asynchronous programming and DevOps automation, and actively mentors junior engineers on writing efficient, idiomatic Python code. His influence has helped shape a culture of clean, scalable, and testable Python development within AARP’s engineering teams.

Rakesh’s contributions also extend beyond our organization. He actively engages with the broader Python community through open-source collaboration, technical blogging, and participation in forums focused on Python in cloud computing, data engineering, and automation. His ability to translate complex technical concepts into practical, real-world solutions has earned him the respect of peers and leaders alike.

In nominating Rakesh for PSF Fellow status, I am confident that his recognition will not only honor his individual achievements but also serve as a testament to the transformative role Python plays in modern enterprise architecture. His work aligns with the Foundation’s mission to promote, protect, and advance the Python programming language, and his continued leadership will undoubtedly inspire further innovation and community growth.

Ramya Ravi

My name is Chandan Damannagari and I would like to nominate Ramya Ravi, who is the Python tools technical marketing engineer on our team, as a fellow for the Python Software Foundation. She has made significant and sustained contributions to the Python community through her work over the past several years including through driving ecosystem growth and adoption of AI/ML solutions built on Python. She has created over 100 high-quality technical pieces of content targeting Python and AI/ML developers, including tutorials, guides, and community engagement posts that have supported and educated tens of thousands of developers across platforms such as Reddit and various Python-focused developer forums. Her efforts have played a key role in expanding the accessibility and adoption of Python-based AI/ML tools and frameworks.

In addition to her content creation, Ramya has been an active community organizer and evangelist, supporting the PyTorch Foundation by developing educational resources and coordinating Intel’s presence at major Python, Linux Foundation, and other AI community events, including the PyTorch and AI.dev conferences. Through these efforts, she has helped facilitate knowledge sharing, foster collaboration, and strengthen the bridge between the Python ecosystem and emerging AI/ML technologies.

Ramya’s work exemplifies dedication to the Python community through empowering developers and advancing Python’s role in AI and machine learning. For these reasons, I strongly support her nomination as a PSF Fellow.

=== Sai

I, Ryan M. Pruden, nominate Sai Vishnu Kiran Bhyravajosyula (“Vishnu”) for recognition as a Fellow of the Python Software Foundation.

Vishnu’s impact on the Python ecosystem has been sustained and significant across multiple organizations. As a founding engineer and technical lead for AWS CodeArtifact, he helped build and launch a service that provides secure, scalable storage and management for Python artifacts with seamless pip integration. Concrete infrastructure that strengthens package reliability for teams worldwide. At Confluent, he developed Python-based internal services that boosted developer productivity, including a unified CI system leveraging AWS, Jenkins, and Semaphore CI for large engineering teams. In his leadership role at Rippling, he drives key backend services built on Python frameworks and actively mentors engineers on Python best practices and design principles.

I have worked with Vishnu and can attest to his technical leadership, mentorship, and consistent advocacy for high-quality Python engineering. His contributions have improved the robustness of tooling that many Python developers rely on, and his mentorship has grown Python expertise among colleagues.

In my view, Vishnu meets the PSF Fellow criteria through long-term engineering contributions that demonstrate technical excellence and have wide, real-world impact on the Python community.

Sohag Maitra

I am writing to nominate myself, Sohag Maitra, for consideration as a Python Software Foundation Fellow. Over the past 15 years, I have been actively contributing to the Python community through research publications, technical writing, book authorship, and public speaking, with a focus on machine learning, large language models, and generative AI.

Publications and Research

I have authored scholarly publications focusing on practical applications of machine learning, large language models, and generative AI, demonstrating Python's capabilities in cutting-edge AI research:

1. "Empowering Smart Retail: Leveraging Large Language Models for Intelligent Shopping Assistants" https://www.jisem-journal.com/index.php/journal/article/view/9302

2. "A Machine Learning Framework for Stock Trading: Integrating Technical and Economic Indicators" https://posthumanism.co.uk/jp/article/view/3133

3. "Generative AI-Driven Product Design: A Data-Driven Framework for Cloud-Native Platform Development in EV and Automation Ecosystems" https://www.eudoxuspress.com/index.php/pub/article/view/2883/2036

Book Authorship

I co-authored "Advanced Data Engineering Architectures for Unified Intelligence" his book provides an advanced strategic deep dive for data engineers and architects into the evolution of enterprise data from SAP to Snowflake and beyond, unifying governance, AI readiness, and the future of agentic systems.

This book traces the transformation of enterprise data infrastructure from traditional monolithic relational systems to agile, cloud-native, and AI-ready architectures known as the Modern Data Stack. Crafted for seasoned architects, principal engineers, and data strategists, it offers rigorous exploration of how legacy systems evolved into integrated, modular architectures. The text examines the journey from rigid on-premises databases through cloud-native data warehouses like Amazon Redshift, to the modern ecosystem of modular cloud-based technologies that automate data processing stages—from ingestion through governance—optimized for velocity, flexibility, transparency, and democratization.

Book link: https://a.co/d/4un5Lgt

I have delivered technical presentation at conference,

ML Con, New York - From Data Silos to AI Excellence: Building Enterprise Feature Stores on Unified Foundations

This presentation addressed a critical challenge in enterprise AI: how fragmented data foundations cause ML teams to waste 80% of their time on feature engineering rather than innovation. I demonstrated how unified data architectures using Python-based tools (Delta Lake, Apache Iceberg, Apache Hudi, AWS SageMaker, Databricks, and Feast) transform AI development from artisanal craft to industrial-scale engineering. The talk covered architectural patterns for enterprise feature stores, policy-based governance, and multi-cloud feature distribution, with live demonstrations showing measurable business impact including 70% reduction in time-to-model deployment and 3x improvement in feature reuse rates.

Technical Writing and Thought Leadership

I have authored technical articles helping practitioners implement AI solutions effectively:

· Making AI Agents Actually Do Stuff: Prompt Engineering That Works

· Making Our Data Actually Work for Us

· Unified Data, Smarter Agents—Is Your Architecture Future-Proof?

Links:

1. https://hackernoon.com/making-ai-agents-actually-do-stuff-prompt-engineering-that-works

2. https://hackernoon.com/making-our-data-actually-work-for-us

3. https://hackernoon.com/unified-data-smarter-agentsis-your-architecture-future-proof

Impact and Community Reach

Through these efforts, I have contributed to advancing Python's adoption in enterprise data engineering, AI/ML applications, and modern data architectures. My work demonstrates Python's power in modern AI applications and helps practitioners leverage Python for real-world machine learning and generative AI solutions. By focusing on practical implementation patterns and unified data foundations, I've helped organizations overcome common AI deployment challenges and achieve measurable business outcomes.

Sushant Mehta

I'd like to nominate myself, Sushant Mehta, for the PSF Fellow membership.

Sushant is a Senior Research Engineer at Google DeepMind. He leads Python‑based post‑training quality efforts for improving Gemini’s coding and data‑analysis capabilities, developing frontier large language models (LLMs) and publishing several practical guides for teams using Python and Jax for their machine learning workflows. Previously, Sushant led privacy‑preserving personalization at Google Maps.

Sushant has deployed Python-based systems serving billions of users globally, demonstrating Python's capabilities at frontier scale. Please find more supporting evidence below: