class Shreyanshu:
def __init__(self):
self.role = "ECE @ BIT Mesra • ML Intern @ Tesk Labs • Co-Founded NiteBite"
self.building = ["SYNQ — multi-provider LLM orchestration",
"LLM-powered compliance tooling",
"Quant alphas on WorldQuant Brain"]
self.stack = ["Python", "LLMs", "FastAPI", "MLOps", "Postgres/Redis"]
self.philosophy = "Ship fast, learn faster. Clean code is a love language."
def say_hi(self):
print("Let's build something that matters.")- 🤖 Working on production-level AI/ML systems — LLM orchestration, RAG, compliance automation
- 📈 Deep interest in quantitative finance — alpha generation, backtesting, time-series
- 🌍 Active open source contributor — I believe in building in public
- 🤝 Open to collaborations & internships — reach out anytime
Languages & Databases
ML / AI
MLOps & DevOps
Quant & Finance
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Multi-provider LLM orchestration platform. Seamless AI conversation continuity across Claude, GPT-4 & Gemini with automatic provider switching on rate limits. FastAPI backend, six-component context engine, Qdrant vector search, Postgres/Redis data plane, deployed at the Cloudflare edge.
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Late-night food delivery for college students. Co-founded and built the backend pipelines plus an n8n-powered AI chatbot — clean UI, real users, real use case.
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Chrome extension that saves your Claude quota. Analyzes prompts on claude.ai in real time and recommends the right Claude model using a tier-based heuristic classifier — so heavy models are reserved for prompts that earn them.
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ML-powered fraud detection. Pattern analysis and anomaly detection on transaction data to flag fraudulent activity before it costs anything.
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