Aditya Khandelwal
I'm a backend engineer with 3+ years of experience, currently working as an SDE II on the applied AI team at Interview Kickstart. Right now, I am building agentic systems that resolve user support queries efficiently and give a delightful user experience.
Outside of work, I am exploring how memory can enable agents to become more intelligent over time—learning from interactions to provide increasingly personalized and effective user experiences.
Work
AI Chatbot with RAG
Interview Kickstart · 2024
Production chatbot with Pinecone and Botpress. Automated 35% of support queries, increased satisfaction 15%.
Semantic Search
Interview Kickstart · 2024
Vector search handling 10K+ weekly queries with AI agent for content enrichment. Eliminated 30 hours/week of manual work.
Performance Optimization
Interview Kickstart · 2024
Eliminated API bottleneck with Redis caching and Django signals. Reduced P99 latency 92% (5s→400ms).
Projects
Undercover Agent
Social Deduction Game - Play now
Multiplayer game where players identify the undercover agent through questions and voting. Built with real-time WebSocket communication.
Yadash
Memory Layer for AI Agents
Hybrid memory system with PostgreSQL and ChromaDB. Extracts memorable context with LLM pipeline, reduced prompt costs 60%.
Invest Shrine
Investment Platform
Django backend with GraphQL APIs for startup investments. Flutter mobile app for deal flow management.