Hi, I’m Ritik Yadav, a Software Developer Engineer (SDE) passionate about scaling low-latency trading engines, WebSocket pipelines, mobile applications, and open-source LLM observability infrastructure.
SDE at ClearMind | Ex-AlphaQuark
Pune / Bangalore, India
Computer Science & Engineering graduate from PSIT with strong fundamentals in Data Structures, Systems Architecture, and full-stack development.
Optimized production API execution latency from 500ms down to <40ms under heavy trading loads with Redis pub/sub and WebSockets.
Creator of local-first LLM memory engines (MemLite with FAISS) and open-source observability dashboards (OpenReplay AI Studio).
Successfully published multiple live trading applications to Google Play Store (ARFS, AlphaPro, Zamzam Capital) reaching 2000+ users.
Proven track record of building production backend systems, mobile apps, and distributed services.
High-impact projects ranging from AI observability platforms to real-time mobile applications.
Local-first memory engine for LLMs featuring semantic retrieval, memory ranking, and automatic memory decay using SQLite and FAISS. Includes a VS Code extension to visualize AI chat history as interactive mind maps.
Open-source observability and debugging platform for LLMs with execution tracing, replay, profiling, and prompt debugging. Features a FastAPI dashboard and CLI for flame graphs and token/cost analytics.
Published mobile trading applications on Google Play Store with real-time price feeds, multi-channel notification engine (WhatsApp, Telegram, Email), and advisor promo discount modules.
Innovative application converting voice and text inputs into 3D sign language animations to improve communication accessibility for the speech and hearing impaired.
Low-cost computer vision solution for monitoring traffic density, controlling signal timings dynamically, and enhancing security surveillance at road intersections.
Real-time web chat application featuring instant text messaging paired with a unique multi-user collaborative drawing canvas using HTML5 Canvas & WebSockets.
Technologies, frameworks, databases, and tools I use to build scalable products.
Academic record, technical publications, competitive programming stats, and awards.
Graduated August 2025 | Kanpur, India
Reached the top 5th percentile nationwide in the prestigious Adobe GenSolve hackathon challenge. [View Certificate ]
Solved over 700+ Data Structures & Algorithms problems across LeetCode (500+) and GeeksforGeeks (200+).
Authored technical guides including "How GPT Works" on Medium and "URL Listening in React Native WebView".
Earned official Skill Badges on Google Cloud Platform and Generative AI infrastructure. [View Google Profile ]
Whether you have an exciting job opportunity, a project to collaborate on, or just want to connect — feel free to drop me a message!