Hemendra lalawat
Hemendra lalawat

Full Stack AI Agent Developer

Actively looking · Member since 20 Aug 2026
Message
Location
Gurugram, India
Desired salary
Confidential
Work preference
Remote Only / Full Time, Part Time, Contract, Freelance
Experience level
Senior

About

Professional summary

I am a Full Stack MERN Developer with over four years of experience building scalable, product-focused web applications. I specialize in React, Next.js, Node.js, TypeScript, and MongoDB, with a focus on clean architecture, maintainability, and reliable delivery.

I have designed and developed end-to-end SaaS platforms, modular backend services, REST APIs, webhook integrations, and real-time conversational systems. My experience includes building high-throughput applications that process millions of user interactions while maintaining low latency and high availability.

I work across frontend and backend development, creating responsive interfaces with React and Next.js and scalable server-side services with Node.js, Express, MongoDB, Redis, and WebSockets. I also have experience with server-side rendering, authentication, role-based access control, scheduled automation, and CMS development.

I have integrated generative AI capabilities using OpenAI ChatGPT, Anthropic Claude, DeepSeek, and Google Gemini APIs. These integrations have enabled workflow automation, conversational features, AI-powered content generation, categorization, and intelligent product experiences.

I am experienced in cloud deployment and operational practices using AWS, Vercel, structured logging, metrics, monitoring, caching, and asynchronous processing. I enjoy collaborating across teams, improving system performance, and shipping practical solutions that create measurable business impact.

Notice period: 1 month

Skills

27 capabilities

Tech stack & tools

Working toolkit

Application Hosting

Application Utilities

Data Stores

Experience

Career history

Software Development Engineer II Catalogus

Architected and deployed a scalable SaaS platform in collaboration with the CTO, improving operational efficiency by 30% through optimized system design.

Developed a modular Node.js and TypeScript backend that improved maintainability and scalability for future releases by 25%. Integrated ChatGPT, Anthropic, and DeepSeek APIs to automate workflows and enhance product intelligence.

Led the end-to-end development lifecycle from requirements gathering through AWS deployment, supporting high-quality delivery and team collaboration.

Software Solution Engineer Gupshup

Architected and maintained high-throughput conversational platforms using Node.js, TypeScript, and MongoDB, processing millions of user interactions across multichannel messaging systems.

Designed and optimized REST APIs, webhook integrations, and event-driven workflows for real-time message delivery, synchronization, and status tracking, achieving 99.9% service availability. Built scalable communication services using caching, asynchronous processing, and distributed data models to support low-latency experiences under burst traffic.

Implemented structured logging, metrics, and performance monitoring to improve incident response and production reliability. Collaborated with frontend teams on responsive conversation interfaces with real-time state updates, improving user engagement by 20%.

Education

Learning history

Ajeenkya D.Y. Patil University

B. Tech.

Bachelor of Technology degree completed in Pune, Maharashtra.

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