Sourabh Sharma
@sourabhsharma2
I build production React and LLM applications used across retail storefronts, retrieval pipelines, and recommendation experiences.
What I'm looking for
At Verizon, I shipped React and Redux retail experiences for Smartwatch, Tablet, and rate plan launches across 100+ stores. I also built UI components for the AI-powered Personal Shopper flow used by 1,000+ customers daily.
I've improved reliability across onboarding, billing, and disconnect flows, including stabilising a portal used by 1,000+ staff daily and reducing workflow interruptions by 45%. By expanding Jest and React Testing Library coverage, I cut defect density from 50% to 15% and reduced reopen rates from 38% to 12%.
I build Generative AI products independently, including a production mutual-fund RAG chatbot using Python, FastAPI, Hugging Face sentence-transformers, ChromaDB, and Groq. Its two-layer guardrail system blocks PII and investment-advice requests and checks generated responses for fabricated output.
I've also built an NLP-powered restaurant finder that converts plain-English cravings into validated filters and recommends restaurants from real Supabase PostgreSQL data. I enjoy shipping practical AI and frontend products with strong testing, guardrails, and maintainable architecture.
Experience
Work history, roles, and key accomplishments
Owned the React/Redux retail storefront for Smartwatch, Tablet, and rate plan launches shipped to 100+ stores with no rollbacks. Built UI components within Verizon's AI-powered Personal Shopper flow, used by 1,000+ customers daily for device and plan recommendations.
Stabilised retail onboarding portal in React and Redux, used by 1,000+ staff daily, reducing workflow interruptions by 45%. Resolved 40+ high-severity defects using Jest, RTL, and Sonar, raising code coverage to 90%+ and improving sprint velocity by 5% per quarter.
Education
Degrees, certifications, and relevant coursework
Chitkara University
Bachelor of Technology, Computer Science
2018 - 2022
Grade: 9.11/10.0
Pursued a Bachelor of Technology in Computer Science, graduating with a CGPA of 9.11/10.0.
Availability
Location
Authorized to work in
Job categories
Skills
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