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About Me

Full Stack Developer with 4+ years of experience, specializing in building scalable, high-performance applications. Skilled in CI/CD, DevOps, and end-to-end ownership across the stack. Proven success in lean startup environments with a strong focus on speed, quality, and impact.

Hands-on experience in the Generative AI domain, including building RAG pipelines, data ingestion workflows, and internal tooling for GenAI products.

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Work Experience

I would like to list the contributions I have made to the projects, I have worked on so far and how my contribution have added value to those projects.

1. Enumerate AI (Software Development Engineer, July 2022 - July 2025)

A SaaS-based startup focused on integrating Generative AI technology into the market research domain, addressing efficiency challenges in quantitative and qualitative studies, particularly in open-ended market research surveys.

  • Built scalable GenAI features like thematic analysis, Q&A playground, and content analysis; integrated LLMs (GPT, Gemini, Claude etc) with RAG workflows, fine-tuning, and custom context representations for LLMs; complemented with classical ML techniques such as clustering for topic and insight extraction.

  • Built an internal library to manage multi-provider LLM workflows with integrated guardrails, usage tracking, rate limiting, and fallback strategies.

  • Created data processing pipelines for media content, including image upscaling, transcription, and speech diarization, with data sanitation measures like voice and facial activity detection

  • Ported a survey app to React Native with offline support, reducing respondent drop-offs and data loss in low-connectivity regions.

  • Migrated monolithic architecture to a scalable serverless setup using AWS ECS Fargate and Lambda, reducing downtime incidents and higher throughput at peak times.

Tech stack: Python AWS Postgres Typescript React-native Next Js LLMs Langchain Azure AI

2. NEETPrep (SDE, April. 2021 - July. 2022)

The platform had seen a staggering growth of ~72% over the last two year (NEET is a 2+ course) in the number of total paid/free students signing up. Hence, a lot of my work was focused on:

  • Building Features for Improving user experience & retention

    • Building, user Streak, for tracking relevant metrics over period of days & weeks. Designed for promoting solving high volume of questions
    • Resulted in increased total questions solved per month, from 3.5 to 4.2 million (1 Month in Production). Question engagement metrics saw a growth of 23% over a 4 month period.
    • Reducing user effort per topic by eliminating redudant questions based on historical analytics data, using statistical tools such as Chi-square & K-means
    • Making platform IMS LTI 1.3 compatible

  • Identifying & removing bottlenecks

    • Lazy loading for graphql queries, leading to reduction in total reads
    • Moving native solutions to AWS lambda functions
    • setting up AWS aurora clusters & implementing database replica proxy.

  • Providing internal tooling to reduce traction of getting new content from ideation to delivery

    • Building video transcription services with GCP, utilizing custom vocab based on keywords extracted from corpus
    • Setting up a NLP pipeline for finding relevant video transcription based on question context. Utilizing PostgreSQL full text search capabilities . Implementation using custom stop words vocab & text search dictionary

  • Exploratory work for serving next 100k users

    • Decentralized GunDB as a solution for introducing live chats.
    • Stress testing kubernetes as an alternative to AWS EBS. Provisioned a cluster for internal use.
    • Provisioned Rocketchat instance with custom features such as message upvotes & reusable bot templates

Tech stack: Rails Node GraphQL React PostgreSQL Kubernetes Python

3. Slick Technology (Intern, July. 2020 - Dec. 2020)

I joined in as backend intern later switched to Full stack role. Was working alongside the CEO. Most of my worked focused on:

  • Creating performant and accessible SPA components for ERP solution, providing a seamless integration with the API endpoints
  • Building feature rich ERP based solution, taking inspiration from Laravel Voyager
  • Building Reusable pipeline flow’s to decrease redundancy & increase cohesion across module
  • Making application GDPR compliant
  • A lot emphasis was put into code quality, readability, documentation & testing. Setting up a work pipeline that would scale as the team & project grows.
  • As a bootstrapped startup, had to constantly juggle between multiple projects

Tech stack: Laravel React JS Saga Redux

4. DGTOnline (Project Partner, Feb. 2019 ‑ April. 2019)

  • Worked alongside a local coaching institute to build a platform for conducting tests and managing student records, for different national level competitive exams
  • Extending capabilities of platform by integrating custom services such as video transcoding, SEO campaign etc. Entirely Built from scratch
  • Conducted over 2000+ tests for about 200 students over a period of 3 months
  • Got to work in a more context driven environment. As my work was closely related to business side of things
  • As a solo dev, was a huge learning opportunity, building and deploying an application to production & navigating how to effectively introduce new feature without breaking

Tech stack: django vue Nginx MySQL Firebase