Sourav Verma is a Lead Applied AI Scientist with a decade of experience building production-grade ML, DL, NLP, computer vision and generative AI systems across enterprise and fintech domains. He has led end-to-end AI productization and client co-creation—designing LLM-based code translation, high‑accuracy RAG ticketing systems, multi-agent orchestration, and process automation projects that delivered multimillion-dollar savings and substantial productivity gains. At Zycus and UniQreate he shipped robust information-extraction, multilingual and fraud-detection pipelines; at IBM he translated R&D into client pilots that improved response times, compliance, and retention. A hands-on engineer as well as leader, Sourav contributes algorithmic implementations to large open-source datasets (e.g., OpenGenus Cosmos) and blends research-grade modeling with practical system design such as AutoML pipelines and multi-tenant architectures. Based in Bengaluru, he pairs strong stakeholder and project management skills with a knack for squeezing measurable ROI from complex AI initiatives.
10 years of coding experience
7 years of employment as a software developer
B.Tech + M.Tech (IPG) Information Technology, B.Tech + M.Tech (IPG) Information Technology at ABV- Indian Institute of Information Technology and Management, Gwalior, India
World's largest Contributor driven code dataset | Used in Quark Search Engine, @OpenGenus IQ, OpenGenus Visual Project
Role in this project:
Back-end Developer
Contributions:5 commits, 13 PRs, 2 comments in 1 day
Contributions summary:Sourav primarily contributed algorithms and data structures implementations to the repository. They added and updated code for calculating Fibonacci numbers and implemented a solution for the longest increasing subsequence problem using a segment tree. Furthermore, the user added a function to convert a binary tree to a doubly linked list and a function to determine if a binary tree is a binary search tree.
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