Work Experience

  1. Founding Engineer

    Stealth Startup

    July 2025 – Present

    Bay Area, California

    Multi-AgentMLOps
    • Spearheaded core AI architecture for a healthcare staffing automation platform; designed and shipped multi-agent systems for intelligent caregiver–client matching and automated shift offer delivery, directly accelerating revenue growth.
    • Building and leading a team of engineers delivering mission-critical features—validator systems, LLM-integrated matching algorithms, and automated scheduling workflows—from design through production.
    • Partnering with CEO and CTO on strategic roadmap planning; translated complex system designs into clear, business-friendly documentation adopted by cross-functional stakeholders and operations teams.
    Tech Stack:

    Python, LLMs, MongoDB, Kubernetes, Multi-Agent Systems, Node.js, TypeScript, Google Cloud

  2. Gen AI Engineer - Emerging Lead-Senior Associate

    State Street Corporation

    April 2023 – July 2024

    Hyderabad, India

    RAGMulti-Agent
    • Integrated Azure OpenAI services via LangChain into a secure Azure MLflow environment and engineered prompt pipelines with LangChain Guardrails, boosting response and customer-support NLP accuracy, reducing inference latency, and mitigating prompt jailbreaks.
    • Implemented RAG pipelines for company's private data using Azure Cognitive Services OCR and custom LangChain extraction modules to ingest and chunk PDFs, DOCX, and Excel files into a PGVector vector database, lifting retrieval accuracy.
    • Engineered a secure, multi-tenant AI assistant framework and automated model deployment pipeline leveraging LangChain, Azure Key Vault, AKS, ACR, Redis, and FastAPI, reducing provisioning time, accelerating rollout, and enforcing strict data segregation.
    +35%
    response accuracy
    State Street
    +28%
    retrieval accuracy
    State Street
    -20%
    inference latency
    State Street
    -60%
    provisioning time
    State Street
    Tech Stack:

    Gen AI, LangChain, GPT, Llama, Guardrails, FastAPI, Azure MLflow, PostgreSQL

  3. ML Engineer/ Data Scientist - Associate 2

    State Street Corporation

    July 2022 – March 2023

    Hyderabad, India

    MLOps
    • Compressed financial datasets with Python pipelines and compression libraries, shrinking the data footprint and accelerating model training.
    • Developed an Isolation Forest anomaly-detection system using Python and Apache Kafka ingestion, enhancing data-validation accuracy and reliability across critical workflows.
    • Automated end-to-end ML pipelines with AWS S3, Pandas, and Scikit-learn, reducing manual preprocessing and retraining effort.
    5.6GB → 2.1GB
    data footprint (-60%)
    State Street
    +25%
    training speed
    State Street
    -55%
    manual effort
    State Street
    Tech Stack:

    Python, Isolation Forest, Apache Kafka, AWS S3, Oracle DB, Pandas, Scikit-learn