• Managed Full Stack Development using technologies such as React, Next.js, Vue.js, TypeScript, and JavaScript; increased feature rollouts' speed by ~30% in multiple products

• Engineered backend systems and APIs that involved Python, FastAPI, Flask to enhance APIs' performance and decrease backend latency by 20-35%

• Created and optimized PostgreSQL databases and queries that enhanced performance and decreased query runtime by ~40%

• Migrated the Analysis Assistant software to Supabase, optimizing databases, implementing Supabase PostgreSQL, and creating Edge Functions, which streamlined deployment processes

• Enabled Supabase Auth, RLS & RBAC functionalities that increased reliability and reduced authorization issues by ~25%

• Created an LLM-based solution for enabling retrieval-augmented generation, and automation of workflows through LangChain, LangGraph, AWS Bedrock, SageMaker, Lambda, S3, DynamoDB, and API Gateway; this accelerated the prototype creation process

• Developed AI voicebots with the use of technologies like Vapi, Twilio, ElevenLabs, and Deepgram; automated tasks and minimized manual work by ~40%

• Created an MCP server for running AI Workflows; enhanced compatibility with our AI products

• Created CI/CD pipelines for Dockerized applications and infrastructure using Terraform; minimized deployment failures by ~50%

• Maintained the production environment on Amazon Web Services (AWS); ensured 99.9%+ uptime due to scalable and fault-tolerant architecture

• Utilized Claude Code, GitHub Copilot, and Cursor to speed up software development process, write higher quality code, and minimize debugging time

• Coordinated cross-functional efforts to implement AI-powered product features for several thousand users

• Developed features using React/Next.js and FastAPI/Django, improving average implementation speed by 30%

• Developed robust back-end frameworks using FastAPI/Django, which led to a decrease in API call delay by 20-35%

• Implemented asynchronous API requests with FastAPI, lowering server utilization by 25%

• Optimized PostgreSQL databases with indexes and tuned queries, increasing query efficiency by 40%; deployed CI/CD pipelines using Docker and GitHub Actions, improving deployment stability by 50%

• Deployed AWS Lambda, RDS, and S3 services using Terraform, ensuring over 99.9% availability and scalability of the system

• Set up system monitoring and alarms using CloudWatch, setting up custom metrics and alarms, which increased reaction time by 35%

• Developed a scalable front-end application based on React, TypeScript, and Redux, along with component-based architecture and unit testing, resulting in a reduction of up to 25% in UI development effort

• Developed APIs for data retrieval purposes, contributing towards improvement in page load time by 30-40%

• Developed analytical dashboards based on Recharts, and thereby saved 50% of the effort required to report manually

• Implemented authentication and role-based access control (RBAC), thus saving 20% of the effort needed to handle security issues

• Collaborated in Scrum teams, using JIRA and Git to deliver new features each sprint, ensuring consistent on-time releases

• Built efficient React components in Next.js, leading to enhanced speed in loading the pages and an increment of 20% in UI responsiveness

• Designed RESTful APIs with microservices implemented in Python, leading to increased data consistency and a decrease of 30% in problems on the front-end

• Built efficient SQL queries in Microsoft SQL Server to manage the data and prepare reports, increasing speed and accuracy in preparing reports

• Delivered features as per the sprint in Agile methodologies to maintain sprint velocity and achieve successful on-time releases

• Helped the senior developers debug Python scripts, resulting in better-quality code and fewer bugs