Mahikshit Kurapati

Mahikshit Kurapati

AI Engineer | Generative AI Systems | LLM Infrastructure | Backend & Cloud ML | Distributed Architectures

Role
Ml Engineer at Excelacom
Location
Washington, DC, US
LinkedIn followers
500 followers

About Mahikshit Kurapati

I didn’t set out to work on AI. I chose computer science because I enjoyed making things…

Experience

  1. Ml Engineer

    Excelacom

    Jun 2025 — Present · Reston, VA, US

    Crafted and maintained a robust RAG pipeline leveraging Langchain and soffice to automatically ingest and parse legacy.doc files, enabling deeper enterprise-level content retrieval and analysis.• Designed an automated directory sync mechanism supporting secure ingestion from local file systems and SFTP connections, enabling hands-free updates to the enterprise knowledge base used by client-facing systems.• Enhanced RAG performance using contextual embedding techniques, accelerating ingestion of new documents by 30% and meaningfully improving LLM response consistency by lowering hallucination frequency.• Overhauled the ML pipeline’s interprocess communication by transitioning from FastAPI to gRPC, significantly boosting throughput (6x) between CPU and GPU servers by eliminating REST overhead.• Integrated Polars and SQL for database summarization, achieving 10x speed-ups in fraud detection queries versus legacy Pandas-based processing workflows.• Monitor model behavior, hallucination rates, and embedding drift in production to inform retraining schedules and maintain model reliability in real-time document-serving applications.• Liaise cross-functionally with DevOps teams to containerize AI services with Docker, orchestrate deployments via Kubernetes, and optimize resource allocation in Azure AppService.• Support engineering leadership by building scalable ML infrastructure that aligns with Microsoft-style standards for telemetry, observability, and SLA resilience.

Education

  • Jawaharlal Nehru Technological University

    Bachelor of Technology - BTech, Computer Science

  • The George Washington University

    Master's degree, Data Science

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