About Me

I'm a software engineer with backend development experience and a passion for distributed systems and data engineering. Currently pursuing my Master’s in Computer Science at CSULB where I am learning core topics like advanced AI, algorithms, and software engineering.

In my past industry experience I have developed scalable microservices, optimized data pipelines, and led cost-saving migrations from Snowflake to Databricks. I’ve built real-time platforms on Snowflake and Databricks, tackled cold start challenges, and contributed to open-source projects like Archive.org, driven by a goal to solve real-world problems with impactful tools.

What I am doing ..


  • Artificial Intelligence services icon

    Artificial Intelligence

    Learning to build AI-driven solutions, including multi-modal systems, autonomous agents, and fine-tuned models, using techniques like RAG and agentic workflows to address complex challenges

  • Full-stack icon

    Backend Services

    Exploring microservices to deliver high-performance applications at scale.

  • Cloud services icon

    Cloud Technologies

    Proficient with AWS for deployment, serverless architecture, and data pipeline setups.

  • Databases icon

    Database & Analytics

    Working with Firebolt to build robust data solutions.

Resume

Education

  1. California State University, Long Beach

    Aug 2024 — May 2026 (Expected)

    Master of Science in Computer Science

    GPA: 4.0/4.0 | Key Courses: Advanced AI, Algorithms, Software Engineering

  2. Ramaiah Institute of Technology, Bengaluru

    Aug 2017 — May 2021

    B.E. in Information Science and Engineering

    GPA: 3.75/4.0

Experience

  1. Graduate Research Assistant — CSULB, College of Business

    Feb 2025 — Present

    Re-engineering and fine-tuning a low-cost eye gaze and face detection application to analyze user engagement with digital advertisements using Python and Deep Learning.

  2. Software Development Engineer II — CommerceIQ

    Feb 2023 — Aug 2024

    Developed a budget recommendation system reducing ad spend waste by $200k. Migrated features from Snowflake to Databricks, lowering latency by 80% and infrastructure cost by 52%. Designed real-time ad data pipelines.

  3. Software Development Engineer I — CommerceIQ

    May 2021 — Feb 2023

    Engineered backend infrastructure and developed a SQL-based cold-start recommendation engine boosting product suggestions for new users by 90%.

  4. Software Engineer Intern — CommerceIQ

    Feb 2021 — May 2021

    Did POC on Firebolt, and optimised query performance on Snowflake

  5. Open Source Contributor — Internet Archive

    Mar 2020 — Dec 2020

    Improved accessibility and SEO on Archive.org projects. Created XML parsers for metadata extraction and added test coverage to open library projects.

Awards

Hackathons & Achievements

  1. CommerceIQ AI Hackathon

    Honorable Mention

    Leveraged LLMs to classify product reviews by sentiment, enabling direct competitor comparisons and actionable insights for strategic brand positioning.

  2. Smart India Hackathon

    Winner (Team Avocado)

    Created solutions for the National Crime Records Bureau to "digitalize, automate, and optimize daily operations of Indian police."

  3. Microsoft IncubateIND Innovation Series Hackathon

    Runner Up

    Extended Women Suraksha project using MapmyIndia APIs to alert family/emergency services in case of distress.

  4. GE Healthcare Precision Hackathon

    Honorable Mention

    Focused on hospital internal workflow automation, successfully reducing patient wait times.

  5. Reverie Language Hackathon

    Runner Up

    Used Reverie translation APIs to facilitate real-time communication between speakers of different languages.

  6. IEEE Ideathon

    Runner Up

    Project focused on solving key societal needs.

Contact

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