Abhishek Lokhande

Full Stack Software Engineer

Pune

Summary

Full Stack Software Engineer with 2.6 years of experience architecting high-traffic applications using Angular 21, Next.js, and Node.js. Proven expert in AI Orchestration, leveraging LangChain and Open Router to build enterprise-grade RAG pipelines and conversational AI. Specialized in Microservices migration and Micro-frontend architecture, successfully decoupling monolithic systems to boost scalability by 40%. Expert in building secure, event-driven systems utilizing AWS (Lambda, S3, EC2), RabbitMQ, and Prisma ORM to deliver high-performance, cloud-native solutions.

Overview

years of professional experience

Work History

Full Stack Developer

Script Lanes

09.2025 - Current

Leading the development of enterprise AI chatbot applications using LangChain and OpenRouter, implementing multi-model orchestration to deliver versatile, vendor-agnostic conversational agents.
Architecting conversational AI solutions with RAG (Retrieval-Augmented Generation) to enable intelligent data retrieval from diverse structured and unstructured sources, optimizing for accuracy and context window efficiency.
Building high-traffic web applications using Next.js, Angular 18+, and Node.js, leveraging modern zoneless change detection and Signal-based state management for maximum architectural scalability.
Collaborated with cross-functional teams to design, develop, and launch new features for web applications.
Reviewed code, debugged problems, and corrected issues.

Software Development Engineer

Smart Ship Hub Digital India Pvt Ltd

10.2023 - 09.2025

Developed a vessel voyage management platform using Next.js and React.js, successfully reducing manual processes by 40% through automated workflow orchestration.
Built a robust Document Management System (DMS) tailored for maritime environments, enabling seamless, low-bandwidth report sharing between offshore vessels and shore-based stations.
Led the migration of legacy monolithic systems to a microservices architecture, achieving a 40% boost in system scalability and significantly reducing deployment lead times.
Optimized real-time responsiveness by implementing Redis for distributed caching and RabbitMQ for asynchronous message queuing.
Established comprehensive observability stacks using Grafana, Loki, and Prometheus, providing deep-dive real-time performance insights and reducing Mean Time to Resolution (MTTR).

Education

Bachelor of Computer Application - BCA

G.H. Raisoni College of Engineering And Management

Pune

03-2022

Skills

Languages: JavaScript (ES6), TypeScript,

Frontend: Angular 18 (v21), Nextjs, RxJS, NgRx (State Management), Signals, Tailwind CSS, Material/Bootstrap, D3js

AI & Backend: Nodej, OpenRouter (LLMs), LangChain, RAG, OAuth2/JWT

Architecture: Microservices (Event-Driven), Micro-frontends, Serverless, REST, WebSockets

Timeline