Headline

Full-Stack Engineer | MS CS @ UCSD | BTech @ IITGN | 2 yrs exp | Python, React, Node.js, TS, GCP | Building scalable apps & AI-driven solutions with a passion for automation & impact | Actively looking for opportunities.

About

I’m a Full-Stack & AI-Driven Software Engineer with hands-on experience building scalable web platforms, automating workflows, and integrating modern AI systems across products. At MindMatrix, I lead full-stack development for both legacy and next-gen platforms—architecting Strapi-based backends, building React/TypeScript frontends, integrating SSO, Zoom, PhonePe, Gemini chatbots, and deploying across GCP using App Engine, Cloud Run, and VMs. I also manage interns, oversee the entire codebase, and mentor thousands of students through Google AI workshops. Previously, I worked across Revature, Accenture, and Capgemini, where I built ML models, developed REST APIs using Java/Spring Boot, engineered churn-prediction systems, created Flask-based ML tools, and gained strong exposure to data preprocessing, feature engineering, and production-grade backend design. I hold an MS in ECE from UCSD and a B.Tech in EE from IIT Gandhinagar with Minors in Computer Science, grounding my work in solid fundamentals, analytical thinking, and a passion for problem-solving. I enjoy building systems end-to-end—whether it’s a scalable API, an ML-powered feature, or automation that saves hours of engineering time. Always excited by impactful engineering, clean architecture, and the future of AI-augmented development.

Location

Bengaluru

AI stack

antigravity

opencode

Work experience

Software Engineer at Alchemic (previously Echo), Apr 2026 - Present · 5 mos, Bengaluru, Karnataka, India

Full Stack Developer at MindMatrixEd, Mar 2025 - Mar 2026 · 1 yr 1 mo, Bengaluru, - As the primary full-stack engineer, I developed and scaled both the old and new company platforms end-to-end. I maintained the legacy React/Node/MongoDB system on GCP (Cloud Run + CI/CD) while architecting and building the new platform from scratch using React, TypeScript, TailwindCSS, and Strapi. I planned the backend schema, created custom APIs and plugins, integrated complex features like SSO, JWT auth, Zoom, PhonePe payments, Zustand state management, and built an AI-powered Gemini chatbot. - I also handled full deployment workflows across GCP App Engine, VMs, domains, and optimized staging environments for both frontend and backend. To support internal operations, I built Python automation scripts for web scraping, email workflows, and data handling. - Beyond engineering, I managed the entire codebase independently, onboarded and mentored interns, and represented the company through AI workshops at colleges—conducting Google Gemini sessions for 2,000+ students.

Java Software Engineer at Revature, Nov 2024 - Jan 2025 · 3 mos, San Diego, CA, During my internship at Revature, I built a strong foundation in Java development, learning core concepts along with tools like Maven, Spring Boot, JUnit, and Mockito. I gained hands-on experience in designing and building RESTful APIs, understanding backend architecture, and writing clean, maintainable code. As my final project, I developed a complete social media backend API using Spring Boot, implementing user authentication, message CRUD operations, and an optimized relational database schema. I also wrote comprehensive unit tests using JUnit and Mockito to ensure reliability, scalability, and production-ready performance. This experience strengthened my backend engineering skills and prepared me for real-world Java-based enterprise development.

Freelance Software Engineer at DataAnnotation, Mar 2024 - Dec 2024 · 10 mos, San Diego, CA, As a Freelance Software Engineer at Data Annotation, I worked across diverse AI training projects, focusing on improving model reliability and data quality. I handled tasks such as data labeling, prompt verification, content evaluation, and multi-modal annotation, ensuring high-accuracy outputs for various chatbot and ML systems. I contributed to over 50 projects, consistently delivering high-quality, privacy-compliant work while helping improve model performance across 10+ production-level ML models.

Software Engineer at UC San Diego, Jun 2023 - Jan 2024 · 8 mos, San Diego, CA, At UC San Diego IT Services, I worked on two major engineering projects focused on automation and developer productivity. I led the automation of the account purge process using Apache Airflow, designing a workflow that fetched user data via APIs, validated it, and triggered accurate, personalized email notifications. This automation reduced the overall purge time from 3 months to just 10 minutes, saving significant operational effort and eliminating manual errors. Alongside this, I contributed to the development of an API Developer Portal using Backstage, enabling over 500+ developers across campus to easily discover, document, and manage internal APIs. I helped design the portal architecture, integrated core plugins, standardized API documentation formats, and improved overall API visibility and governance. This role strengthened my skills in backend development, workflow automation, cloud operations, and building scalable internal tools that directly improve engineering efficiency.

Education

Master of Science - MS, UC San Diego

Bachelor of Technology, Indian Institute of Technology Gandhinagar