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Full Stack Engineer with 5+ years in Node.js, React.js & AWS, specializing in LLM Integration.
Full Stack Developer with 5+ years of experience designing, developing, and scaling high-performance applications using Node.js, JavaScript (ES6+), React.js, TypeScript, Express.js, MongoDB, and MySQL. Expertise in building RESTful APIs, GraphQL services, microservices architectures, and cloud-native applications on AWS. Hands-on experience integrating Large Language Models (LLMs) using AWS Bedrock (Claude, Titan) and building AI-powered workflows with Model Context Protocol (MCP) for LLM tool orchestration. Proven track record of improving application performance by 35%, reducing deployment time by 80% through CI/CD automation, and leading teams to deliver scalable enterprise solutions. Strong command of Redis, Docker, Jenkins, AWS Lambda, Amazon S3, authentication protocols (SAML, JWT, OAuth 2.0), and system design.
Institute of Engineering & Technology, DAVV
Bachelor of Engineering · Electronics & Instrumentation
August 1, 2013 – June 30, 2017
HARNS TECHNOLOGY
Full Stack Developer
March 1, 2022 – Present
India
PRACTOLERN SOLUTION
Software Developer
January 1, 2021 – March 1, 2022
Indore, Madhya Pradesh, India
Expense Tracker with AI Insights
March 1, 2025 – June 1, 2026
Built a full-stack personal finance and expense tracking application integrated with LLM-powered insights using AWS Bedrock (Claude model). Designed an MCP (Model Context Protocol) server exposing expense management tools (add, list, summarize by category/date) to LLM agents for natural language expense queries. Implemented real-time spending analytics, category-wise breakdowns, and AI-generated budget recommendations using Claude via AWS Bedrock. Stored expense data in a local SQLite database; built a Node.js/Express backend and a React.js dashboard with charts for visual reporting. Enabled natural language interactions (e.g. 'What did I spend on food this week?') through MCP tool orchestration, reducing manual report generation by 70%.
Pi40
January 1, 2024 – July 1, 2025
Developed and integrated backend services combining RTV, LPS, ADAM, IOT, VIDEOWALL, and Baudis modules to streamline operational reporting and workflows.
Smart Zoner
November 1, 2023 – January 1, 2024
Developed a document zoning tool using PDFTron API, enabling 90% faster content extraction from PDFs. Integrated MongoDB aggregations for master page data retrieval; managed secure file storage using AWS S3.
Paywall
August 1, 2023 – October 1, 2023
Designed and implemented reporting APIs for a high-traffic subscription platform. Enabled SAML-based secure login for over 100K users, reducing unauthorized access incidents.
Woovet
June 1, 2022 – June 1, 2026
Developed backend services for a cloud-based veterinary clinic platform used by 200+ clinics. Engineered modules for appointments, EMRs, inventory, lab integrations, and payment gateways. Enabled Google and Facebook social logins, increasing user sign-up rate by 25%. Integrated WhatsApp for real-time communication, improving client engagement and notification delivery.
JavaScript - Certified
Unknown
June 1, 2026 – Present
Node.js - Certified
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from personal finance trackers with AI to veterinary clinic platforms and high-traffic subscription services, demonstrates adaptability and a broad interest in different problem domains. Their experience in both professional and personal projects, including leading a team, indicates initiative and a proactive approach. The strong alignment with the target role's technical requirements and the breadth of skills suggest a good cultural fit for a dynamic and technically advanced environment.
Soft Skills & Operational Fit
The candidate's experience leading a backend team, collaborating with QA and frontend teams, and participating in peer code reviews indicates strong teamwork and communication skills. Their ability to translate client requirements into functional modules and reduce delivery time suggests good problem-solving and project management capabilities. The focus on reducing bug turnaround time and improving system reliability points to a detail-oriented and quality-conscious approach.