Poorna Gurram
Lead Software Engineer at EPAM Systems
Hyderabad, Telangana, India
Summary
👤
Senior🎓
Top SchoolPoorna Gurram is a Lead Software Engineer with 11 years of experience specializing in NLP, ML and production-grade AI systems, currently building agentic AIOps frameworks at EPAM Systems. Previously as a Technical Lead at Kore.ai, he led engineering efforts to integrate MLOps, multilingual conversational AI, spell-correction, and vector-database retrieval into scalable products using PyTorch, Hugging Face, SageMaker and Kubernetes. He is a hands-on Pythonista who contributes to open-source—extending FinancePy with option-pricing and robust date handling—demonstrating breadth from ML to quantitative backend work. A mentor and researcher at heart, Poorna blends high- and low-level system design with practical deployment experience to move LLM innovations into production. Based in Hyderabad, he pairs an Information Technology degree with executive training in technology entrepreneurship, enabling a product-minded approach to AI engineering.
10 years of coding experience
7 years of employment as a software developer
Bachelor's Degree Information Technology, Bachelor's Degree Information Technology at Sreenidhi Institute of Science and TechnologyTechnology Entrepreneurship Programme Entrepreneurship/Entrepreneurial Studies, Technology Entrepreneurship Programme Entrepreneurship/Entrepreneurial Studies at Indian School of Business
Stackoverflow
721reputation
220kreached
23answers
1question
Github Skills (13)
finance10
derivative10
python10
numpy8
nlp6
named-entity-recognition6
deep-learning6
spacy6
machine-learning6
gensim6
word2vec6
tensorflow6
wand6
Programming languages (5)
Github contributions (5)
domokane/FinancePy
Sep 2020 - Nov 2020
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:15 commits, 6 PRs, 4 comments in 1 month
Contributions summary:Poorna primarily contributed to the financepy library by implementing and extending core financial modeling functionalities. They focused on enhancing date handling, including support for date string formats. The user also integrated a Baron Adesi Whaley implementation for American option pricing, adding to the library's derivatives capabilities. Additionally, they incorporated code updates through merging and refactoring tests for more robustness.
pythonrisknumbafinanceasset-allocation
poornagurram/poornagurram.github.io
Sep 2017 - Jun 2023
Contributions:30 pushes in 5 years 10 months
templategithub-pages-templatemmistakesmistakesjekyll
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