Lakshya Bhambhani
Gen AI Engineer | Full-Stack DeveloperProfessional Summary
Results-driven Gen AI Engineer with hands-on experience building LLM pipelines, RAG systems, and scalable backend architectures. Proven track record of delivering measurable outcomes: +22% prediction accuracy, +90% operational efficiency, and +50% user engagement improvements. Specialized in autonomous AI agent development, high-velocity data pipelines, and enterprise-grade solutions that scale.Experience
Gen AI Engineer Internwsup.ai (Bluestacks)
May 2025 – Jul 2025- Optimized LLM-driven engagement pipelines, increasing chat length by 50% and reducing churn by 30%
- Built Emotion Repetition Extractor and Phrase Loop Tracker for conversation analysis
- Automated logging and analytics workflows, reducing A/B testing cycle time by 40%
- Validated API concurrency handling 999+ parallel requests with zero degradation
- Developed Dynamic Memory Cache for enhanced AI response performance
Technical Skills
Languages:Python, JavaScript/TypeScript, PHP, SQL
AI/ML:LangChain, LangGraph, RAG, Transformers, PyTorch, Scikit-learn
Backend:FastAPI, Node.js, Fastify, Flask, PostgreSQL, Redis, Docker
Frontend:React, Next.js, Remix, Three.js, TailwindCSS
Cloud & Tools:AWS, Supabase, Vercel, Git, Tableau
Key Projects
OmniNexus - Enterprise Intelligence SuiteMulti-modal platform with LangGraph agent swarms, RAG pipelines, and automated compliance monitoring. Reduced operational drag by 90%.
TransactIQ - Transaction Intelligence PlatformML-powered churn prediction with 94% accuracy, real-time KPI dashboards, and 2FA security implementation.
SAVOO - High-Performance Recipe APIDual-backend architecture (PHP + Node.js) targeting 10k+ RPM with JWT auth and Redis caching.
Apex Marketing Intelligence SuiteReal-time collaboration platform with WebRTC screen sharing and AI-powered chat analysis.
EDQMP - Enterprise Data Quality PlatformAutomated data validation and anomaly detection for enterprise data pipelines.
AI Automation PlatformMulti-modal AI workflows with website-to-brochure automation and RAG knowledge workers.
Education
Vellore Institute of Technology (VIT), Vellore | B.Tech in Computer Science
GPA: 7.53 | Sept 2022 – Sept 2026