About Me

engineer, builder, learner.

building ai applications, intelligence platforms, and backend systems.

learning by doing, shipping by building.

What I'm doing

  • Backend & AI Engineering

    RAG pipelines, evaluation workflows, and retrieval-backed AI applications.

  • osint & CyberSecurity

    Intelligence platform & CyberSecurity, cross-source data aggregation, and investigation workflows backend engineering.

  • Data Analytics

    Large-scale data analysis, dashboards, and data-driven insights for HR and recruitment.

  • Open Source & Hackathons

    OSS contributions, Meta PyTorch OpenEnv Hackathon finalist, backend patches, and infra automation.

Open Source Contributions & Hackathons

contributed to Open Food Facts, Layer5, Cncf, and Recode Hive. Focused on giving patches, SDK, Docker, CI/CD. Meta PyTorch OpenEnv Hackathon x Scaler solo entry cleared Phase 2 deep validation.

Resume

Experience

  1. Software Engineer Intern (AI & OSINT Engineering) AiGeeks

    May 2026 — Present

    • Building a production-grade OSINT platform focused on entity intelligence, investigation workflows, and cross-source data aggregation.
    • Developing backend services, APIs, and data pipelines using Python, FastAPI, MERN, PostgreSQL, and Docker.
    • Designing scalable intelligence workflows, structured outputs, and reliable data processing systems for real-world investigations.
    • Collaborating on infrastructure, automation, and deployment architecture for high-availability backend services.

    Python · FastAPI · MERN · PostgreSQL · Docker · OSINT

  2. Backend AI Engineering Fellow FlyRank AI

    Jul 2026 — Present

    • Building retrieval-backed AI applications, structured-output workflows, and evaluation pipelines focused on reliability and correctness.
    • Designing API contracts, validation layers, and backend workflows for production-oriented AI systems.
    • Developing RAG, tool-calling, and agent-based workflows with an emphasis on grounding, failure handling, and auditability.
    • Creating evaluation datasets, quality rubrics, and verification processes to assess AI system performance and limitations.

    RAG · LLMs · Evaluation Frameworks · Structured Outputs · Agent Workflows · APIs

  3. Data Analyst KultureHire

    March 2025 — June 2025

    • Analyzed large-scale HR and recruitment datasets to uncover trends related to hiring, retention, and candidate performance.
    • Built structured analyses and dashboards to translate raw data into actionable insights for stakeholders.
    • Supported data-driven decision-making by identifying patterns and presenting findings in a clear, business-oriented manner.

Education

  1. B.Tech, Computer Science Engineering (Data Science)

    Maharshi Dayanand University 2023 — 2027

    • Undergraduate coursework focused on computer science fundamentals, data structures, algorithms, and software engineering.
    • Developing a strong foundation in machine learning, data analysis, and applied artificial intelligence through academic and practical work.

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