About Me
Personal Summary
Backend Engineer with 5 years of experience designing scalable architectures and high-performance APIs. Proficient in Python, FastAPI, Next.js, Express.js, and cloud technologies (Docker, Kubernetes, AWS). Skilled in microservices, database optimization, and automated deployments. Passionate about using AI-driven automation to solve complex challenges and build resilient solutions.
Experience
General Catalyst (Mar 2022 - Present)
Led backend development and automation for Venture Highway, later merged into General Catalyst.
Modernized legacy code with Python, improving request processing speed and server efficiency.
Built a WhatsApp bot integrating MongoDB and an RAG-based LLM, enabling seamless partner interactions.
Developed high-performance APIs and pipelines, cutting processing time by 67%.
Designed an event-driven architecture with FastAPI and Redis, tripling data throughput.
Integrated AI-driven startup evaluation models, streamlining due diligence.
Managed backend migration post-acquisition, ensuring a smooth transition.
Rech Company (Mar 2019 - Mar 2022)
Built a quotation management system that reduced turnaround time by 50%, improving executive efficiency and client satisfaction.
Engineered a real-time crowd-tracking system for an event, enhancing security and situational awareness.
Created a psychometric evaluation system, improving hiring accuracy by 30% and reducing recruitment time by 40%.
Developed the backend infrastructure for Lenovo Yoga’s campaign site, leveraging Celery & RabbitMQ for efficient image generation and processing.
Education
Masters of Computer Application - August 2024
Amrita Vishwa Vidyapeetham
Bachelor of Computer Application - August 2019
Vivekananda Institute of Professional Studies, GGSIPU
Key Projects
Crowd-Tracking System for EDGE Tawdheef Convention
Developed a real-time crowd-tracking system to analyze attendee movement and improve security measures.
Enabled data-driven insights to enhance situational awareness and optimize event management.
Successfully deployed and tested in a high-traffic defense technology convention in the UAE.
WhatsApp AI Assistant for General Catalyst
Developed a WhatsApp bot connected to MongoDB and an RAG-powered LLM, allowing investors and partners to interact with the product through chat.
Enabled natural language queries for startup discovery and founder insights.
Securely managed access control, ensuring only authorized users could utilize the bot.
Legacy Code Modernization
Refactored legacy backend code to modern Python, replacing outdated logic with optimized algorithms.
Improved request processing speeds, allowing servers to handle significantly higher loads.
Reduced technical debt and streamlined CI/CD pipelines, improving deployment efficiency.
Technical Skills
Languages: Python, JavaScript, Rust
Backend Frameworks: Flask, FastAPI, Next.js, Axum Rust
Databases: PostgreSQL, MongoDB, MySQL, ElasticSearch, Redis
Cloud & DevOps: Docker, Kubernetes, AWS (RDS, EKS), Netlify, Github Actions
Scalability & Performance: Microservices, Event-Driven Systems, API Optimization
AI & Automation: PyTorch, ONNX, NLP, Selenium, BeautifulSoup
System Design & Distributed Systems: Event Sourcing, Kafka, Load Balancing, Multi-region deployments