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Darshan Rahul Rajopadhye
Junior AI/ML Engineer specializing in LLM agents and RAG systems
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About
Backend/data engineer who built a production-ready multi-agent financial intelligence system (Mycroft) that orchestrates specialized AI agents to analyze real-time market data using FastAPI and Pinecone vector search. Brings strong security/reliability instincts (rate limiting, JWT/OAuth2, retries/backoff, health checks) and has caught high-impact data integrity issues in financial migrations (timezone normalization across global legacy systems).
Experience
Education
Key Strengths
- Designed and built a production-ready multi-agent financial intelligence backend (Mycroft) for real-time analysis across multiple data sources
- Strong API reliability/security practices (rate limiting, Pydantic validation, OAuth2/JWT, CORS, secret management)
- Scalable backend architecture approach (stateless endpoints, async I/O, Redis-backed state, modular code organization)
- Resilient integration patterns for external dependencies (retries with backoff, agent-level failure isolation, health checks, logging)
- Careful refactor/migration execution with parallel run, comprehensive testing, Alembic migrations, checksums, and feature-flagged rollout
- Identified critical data edge case in financial data migration (timezone inconsistencies) and implemented UTC normalization to prevent compliance-impacting errors
- Implemented Supabase/Postgres RLS to enforce per-user data access controls
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