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EPAM Systems
Data Scientist
June 20, 2026 – Present
pyconf-hyd-2026-trustworthy-llm-agents
March 11, 2026 – Present
Hands-on workshop: building trustworthy LLM agents with observability (OpenTelemetry, Langfuse), evaluations (DeepEval), and security guardrails
View Projectcowin-notifier-hyderabad
May 29, 2021 – May 30, 2021
cowin-notifier-hyderabad — GitHub repository
View Projectpython-for-devops
May 18, 2020 – July 22, 2022
"Python for DevOps" Workshop codebase and examples.
View Projectdemystifying-docker-for-devs
October 3, 2019 – April 22, 2022
Repo for PyCon India 2019 - "Demystifying Docker for Devs" workshop
View Projectinpycon-twitterbot
June 2, 2018 – August 7, 2018
This is a re-tweet bot which retweet with reply for all tweets mentioned with #PyConIndia or #PyConIndia2018 and anyone who mention us @pyconindia .
View ProjectPyConf17Slides
October 14, 2017 – October 28, 2018
Presentations & slides presented during PyConf Hyderabad 2017
View ProjectPlanetDAO
June 20, 2017 – February 2, 2018
An open implementation for creating and managing decentralised organisations based on Ethereum Blockchain
View Projectlibrary_management_system_blockchain
April 18, 2017 – May 2, 2018
A community library management system built using ethereum blockchain.
View ProjectCultural Fit Analysis
The candidate's extensive involvement in community projects, particularly around PyCon events, indicates a proactive and collaborative mindset. The diversity of projects, from LLM agents to blockchain and DevOps, shows a broad interest in technology. However, the current experience level (0) and the fact that the only listed professional experience is current and very recent (starting June 2026) makes it difficult to assess long-term cultural fit within a structured corporate environment. The projects are predominantly personal, which might suggest a preference for independent work, but also a strong drive for self-learning and contribution.
Soft Skills & Operational Fit
The candidate's project history, particularly involvement in workshops and presentations at PyCon, suggests strong communication and collaboration skills. The focus on building trustworthy LLM agents implies an understanding of responsible AI practices. However, without psychometric test results, a definitive assessment of work attitude, stress handling, and team collaboration is not possible.