Standing Rank
Rank Not Available
Developer Badges
Badges Pending
Skills & Technologies
41 skillsWork Experience
Software Engineer II
Verizon
- 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.
- Shipped discount loss warnings in the disconnect flow using React, reducing churn across 100+ store locations.
- Expanded Jest/RTL test coverage, cutting defect density from 50% to 15% and reopen rate from 38% to 12%.
- Adopted GitHub Copilot, ChatGPT, and Gemini earning Verizon Bronze and Silver AI Adoption medals, cut root-cause analysis time by 30-40%.
- Mentored junior engineers on codebase architecture and testing practices, cutting onboarding ramp-up time by 2 weeks.
- Removed hardcoded plan IDs across Micro-Frontend (MFE) repositories so future plan launches require zero frontend code changes.
Software Engineer I
Verizon
- 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.
- Fixed a duplicate billing bug in the Apple One perk enrolment flow that was incorrectly charging customers.
- Delivered a dual-SIM onboarding feature in React, fixing critical eSIM and IMEI2 validation errors across 100+ stores.
Software Engineering Intern
Verizon
- Built React UI flows for abandoned cart recovery with Jest coverage across all critical paths and zero Sonar violations at release.
Projects
Mutual Fund RAG Chatbot
View Project- Built production RAG pipeline using Hugging Face sentence-transformers to turn fund documents into searchable embeddings, ChromaDB finds the most relevant chunks, and Groq LLM uses only that retrieved context to generate answers no hallucination, no guessing.
- Two-layer guardrail system, incoming queries are screened upfront to block PII and investment advice requests before they ever reach the LLM; responses go through a second check to catch any fabricated output.
- APScheduler keeps the vector store fresh by rebuilding it every morning at 10 AM IST.
Zomato Cravings Finder
View Project- Two-stage LLM pipeline, first Groq call reads the user's plain-English craving and converts it into clean JSON filters (NLP); a second call then ranks and recommends restaurants using only real Supabase PostgreSQL data, never invented results.
- Anti-hallucination validation layer before any database query runs, the backend verifies the LLM-extracted location against a known list of Bangalore neighbourhoods, silently rejecting anything that doesn't match and preventing fabricated places from slipping through.
Leaderboard Standings
Leaderboard Position Pending
Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.
Assessment Highlights
Assessments Not Completed
Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.
AI Collaboration Score
AI Collaboration Score Pending
Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.
Role Compatibility Profile
Role Compatibility Analysis Pending
Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.
Achievements
Verizon AI Adoption Medals
Verizon Bronze and Silver AI Adoption medals.
About Details
Professional Bio
Software Engineer with 3.5+ years at Verizon shipping AI-powered products to 100+ locations and 1,000+ users daily. Built two live Generative AI applications independently, a production RAG pipeline, and an NLP-powered restaurant finder.
B.Tech in Computer Science
Chitkara University (2018 - 2022)