About me

Graduate student at UC San Diego (MS Data Science), focused on practical machine learning, agentic AI, and scalable data engineering.

3+ years experience, building production systems at Oracle: retrieval-augmented generation (RAG), LLM fine-tuning, and robust ETL/data automation for enterprise use cases. Proficient in Python, SQL, pandas, PyTorch, React, and cloud tooling (OCI/GCP/AWS). Experienced with full-lifecycle ML engineering: data wrangling, modeling, evaluation, deployment, and monitoring.

What i'm doing

  • research icon

    Machine Learning

    Training and deploying ML models , sustainance and monitoring using multiple metrics.

  • engineering icon

    Software & Data Sciences

    Scalable data pipelines, Enrichment of data , microservices, and CI/CD for production ML systems.

  • cloud icon

    Cloud & RPA

    Containerization, orchestration, and cloud infrastructure on OCI developing automation workflows using RPA Framework.

  • research icon

    Agentic AI and Research

    Multi Agentic Frameworks , Fine Tuning , retrieval-augmented generation, Vector embedding, MCP and research in other nascent technologies.

Testimonials

Daniel lewis
quote icon

Daniel lewis

Recommendation placeholder text. Please open the linked recommendation PDFs for full letters.

Resume

Education

  1. University of California San Diego — MS Data Science

    2025 — Current

    MS Data Science candidate focused on applied ML, agentic AI, and scalable data engineering.

  2. Ramaiah Institute of Technology — B.E. Computer Science

    2019 — 2023

    Bachelor of Engineering in Computer Science and Engineering.

  3. Indian Institute of Technology Madras — Diploma in Data Science

    2023

    Distance program in Data Science.

Experience

  1. Software Developer, Oracle — Bangalore, India

    Jan 2023 — Sep 2025

    Designed an Agentic AI Framework integrating planners, agents, and orchestrators; deployed RAG pipelines; developed embedding-based classifiers and LLM-driven report generators; automated backend jobs and improved CI/CD reliability.

  2. Development Intern, Cuspera, Inc — Santa Clara, CA

    Aug 2022 — Jan 2023

    Automated lead report aggregation, built interactive data visualizations, and implemented testing for data reliability.

  3. Student Intern, Vijayalaxmi Gears — Hubli, India

    Jun 2021 — Sep 2021

    Preprocessed and analyzed training-center data; applied statistical and ML methods to identify attendance and placement patterns.

Skills

  • Programming — Python, Java, C++, JavaScript, Go, SQL, Bash
  • AI/ML — PyTorch, TensorFlow, LangChain, RAG, LLMs
  • Data Engineering — ETL, pandas, SQL, pipelines, MLflow
  • Cloud & DevOps — GCP, AWS, OCI, Docker, Kubernetes, CI/CD
    80%

Portfolio

Contact

Contact Form