I'm a Full-Stack Developer and B.Tech student in Electronics and Communication Engineering at Jabalpur Engineering College (2023–2027), passionate about building scalable backend systems, full-stack applications, and practical AI-powered solutions.

• 💼 Software Development Intern at LZCAL, working on the Taalverse platform and MyRytha app.
• ⚙️ Experienced in building applications with Java, Spring Boot, React.js, REST APIs, and databases.
• 🤖 Exploring LLM integration, AI agents, prompt engineering, and workflow automation.
• 🛠️ Contributed to 20+ features and modules and helped resolve 50+ production issues.
• 🧠 Solved 300+ Data Structures and Algorithms problems using Java.

Currently interested in: Backend Development, Full-Stack Engineering, Microservices, and AI-assisted software engineering.

Languages

Backend & APIs

Frontend

Databases

AI, Testing & Developer Tools

Core CS: Data Structures & Algorithms, OOP, DBMS, Operating Systems, Computer Networks.

Java · Spring Boot · PostgreSQL · React · Claude · Razorpay APIs

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An AI-assisted payment recovery system that combines failure diagnosis with deterministic policies to make recovery decisions safer and more traceable.

• Built an AI-assisted diagnosis workflow to analyze payment failures and recommend recovery strategies.
• Designed a 7-check deterministic policy engine to validate proposed actions before execution.
• Integrated Razorpay Test Mode payment-link operations and post-action verification boundaries.
• Added duplicate-recovery safeguards and an audit trail for decisions and outcomes.

n8n · JavaScript · PostgreSQL · Excel · LLM Integration · Docker

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An AI-assisted QA automation pipeline that connects API execution, result analysis, reporting, and defect preparation.

• Designed modular workflows for Excel test ingestion, API request construction, HTTP execution, response normalization, and verdict generation.
• Implemented deterministic-first decision logic with AI-assisted evaluation for cases requiring interpretation.
• Defined versioned JSON contracts, validation rules, and structured error handling.
• Added evidence-grounding checks, confidence controls, and manual-review routing.
• Designed idempotent Excel report updates that preserve original test definitions.
• Built structured Jira defect-draft generation for failure cases.

Python · FastAPI · Scikit-learn · Spring Boot · Streamlit · MySQL

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A machine-learning application for estimating industrial equipment failure risk from sensor data.

• Used the NASA CMAPSS turbofan dataset to develop a predictive maintenance solution.
• Built a FastAPI inference service for failure-risk predictions.
• Integrated Python inference with Spring Boot through REST APIs.
• Developed a Streamlit dashboard for sensor visualization and prediction monitoring.
• Stored prediction history in MySQL using Spring Data JPA.

June 2026 – Present | Remote, India

• Developed and debugged 20+ features and modules across the Taalverse platform and MyRytha app.
• Helped resolve 50+ production issues involving application workflows and frontend/backend functionality.
• Investigated API flows, performed root-cause analysis, and validated fixes.
• Contributed to feature development with a focus on reliability, maintainability, and performance.
• Collaborated with senior engineers through development, testing, and code reviews.

• 🏅 College Finalist — Smart India Hackathon 2024.
• 🤖 Participant — Razorpay AI Buildathon 2026, building RecoverSense.
• 🚀 Participant — LNMHacks.
• 🧠 Solved 300+ DSA problems using Java.
• 📜 GenAI & AI Agents for Java Spring Boot Developers — Copilot, Claude, Udemy, July 2026.

Jabalpur Engineering College, Jabalpur, Madhya Pradesh

B.Tech in Electronics and Communication Engineering | 2023–2027

I'm interested in opportunities involving Backend Development, Full-Stack Engineering, Software Engineering, and AI-assisted engineering.

LinkedIn · Email · GitHub · LeetCode

Building practical solutions, learning continuously, and improving one project at a time. 🚀