Profile
Java / Full-Stack Software Engineer with 3+ years of experience building scalable backend and full-stack applications. Strong background in Spring Boot, REST APIs, microservice-based systems, and frontend integration using React and Next.js.
Experienced in AI-powered analytics, data visualization, and secure enterprise application development.
Skills Summary
Backend (Spring Boot)
Spring Boot, Spring Security, REST APIs, JPA/Hibernate, microservices, JWT, and RBAC.
Frontend (React / Next.js)
React, Next.js, TypeScript, Tailwind CSS, and secure frontend-to-API integration.
AI & Analytics
OpenAI, LangChain, Apache Superset, conversational AI, and LLM-driven analytics.
Cloud & DevOps
AWS SDK (SES/S3), Azure SDK, Docker, Nginx, Git, and Maven.
Resume
Education
Bachelor of Engineering (B.E.) — Anjuman-I-Islam’s Kalsekar Technical Campus (AIKTC), Mumbai University
2018 — 2022
CGPI: 8.59
Experience
Software Development Engineer II
Accelya — Mumbai
April 2025 – Present
- Designed and developed microservice-based backend services using Spring Boot, following clean separation of concerns and RESTful API standards.
- Integrated React / Next.js frontend applications with backend APIs, supporting secure authentication and responsive UI workflows.
- Implemented Spring Security using JWT-based authentication and role-based access control to protect APIs and sensitive business data.
- Built a near real-time database synchronization service from MS SQL Server to PostgreSQL using embedded Debezium (without Kafka), ensuring low-latency and reliable replication.
- Developed a configurable email notification service integrating AWS SDK and Microsoft Azure SDK to handle transactional and bulk emails.
- Collaborated with cross-functional teams in an Agile environment to deliver enterprise-grade features and production-ready solutions.
- Applied performance optimizations and code quality improvements, reducing processing time and infrastructure overhead.
AI Business Insights Chatbot — Internal Workshop Project (Team)
- Built an AI-powered chatbot capable of answering business questions with insights, tabular results, and visual analytics.
- Integrated Apache Superset (Python) to generate charts dynamically based on user queries.
- Used OpenAI LLMs to translate natural language questions into structured Superset visualization payloads.
- Embedded Superset dashboards into the chatbot UI using secure iframe-based integration.
- Implemented backend APIs using Java Spring Boot and frontend chatbot UI using React.
- Delivered a working prototype within a limited workshop timeline through close team collaboration.
Java Developer
Wipro Ltd — Bengaluru
September 2022 – April 2025
- Led backend development for a major enterprise project using Spring Boot & JPA, improving workflows and achieving a 15% efficiency boost.
- Developed and optimized REST APIs, reducing response time by 20%.
- Conducted code reviews, maintained high-quality standards, and resolved production issues using Splunk and SonarQube.
- Created unit and integration tests achieving 98% test coverage.
- Supported production deployments by creating RFCs, promptly addressing issues, and resolving SonarQube violations to maintain high code quality.
Skills
Languages
Backend
Frontend
Databases
Cloud & DevOps
AI & Analytics
Testing & Quality
Personal Projects
Supply Chain Analytics Platform (Team Project)
SDE (Full Stack)
- Built a multi-tenant supply-chain analytics SaaS platform enabling multiple companies to manage operational data while maintaining strict tenant-level data isolation.
- Implemented role-based access control (RBAC) to separate administrative, analytical, and read-only user permissions.
- Developed backend modules for tasks, calendar, and analytics dashboards using authenticated REST APIs.
- Designed and implemented React + TypeScript dashboards with protected routing and shared application layout for consistent user experience.
- Integrated AI chat assistants (analytics assistant and data assistant) using OpenAI and LangChain, including conversation/session handling and usage tracking.
- Supported both structured analytics data and flexible document storage using PostgreSQL (Supabase) and MongoDB.
- Containerized backend and frontend services using Docker and configured Nginx for reverse proxy and deployment readiness.
Tech Stack: TypeScript, React, Node.js, Supabase (Postgres), MongoDB, OpenAI/LangChain, Docker