About
Hey there! I’m a software developer with a BTech in Electronics and Telecommunication Engineering from COEP Technological University, Pune 🎓.
I’m passionate about building developer tools 🛠️, scalable microservices ⚡, and full-stack web applications 🌐. I’ve worked on everything from NLP-based code search engines 🔍 to privacy-focused analytics platforms 📊, and I love diving into new technologies to solve interesting problems!
💼 Experience
🟠 Workday — Machine Learning Intern
📅 May 2026 – Jul 2026 | 📍 Pune, India
- 🤖 Contributed to the development of an internal AI-powered sales assistant serving 3,000+ Account Executives, enabling analysis of customer data, identification of business opportunities, and generation of actionable insights from enterprise data sources including Salesforce, Clari, Tecton, and internal knowledge repositories
- 🧠 Improved the platform’s LangGraph-based multi-agent architecture by testing and refining agent routing strategies, enhancing the reliability and effectiveness of agent orchestration
- 💬 Developed a chat reconciliation mechanism that enabled seamless session recovery across page refreshes and transient network failures by buffering streamed LLM responses in memory and synchronizing them with MongoDB-backed conversation history
- 📊 Built an automated load-testing framework for agentic workflows, replacing manual Locust-based testing with a scalable system that validated support for 35 concurrent users while capturing advanced LLM metrics including Time-to-First-Token (TTFT), token throughput, and inter-token latency, complemented by visual performance analytics
- 📝 Designed and implemented a dynamic prompt management system supporting 20+ prompts, decoupling prompts from the application codebase and enabling runtime prompt updates, version control, and A/B experimentation. Integrated Databricks MLflow for prompt tracing and leveraged the internal agent evaluation framework to validate prompt and agent behavior
- ⚙️ Worked with Python, React, LangGraph, Amazon Bedrock, Amazon S3, PySpark, Databricks, and MLflow to build and improve production-scale generative AI workflows and developer tooling
💳 Mastercard — Software Development Intern
📅 May 2025 – Jul 2025 | 📍 Pune, India
- 🔧 Built an internal deployments tracking tool, improving feature traceability and reducing manual verification overhead
- ⚛️ Developed the front-end with React.js and built five back-end microservices (Eureka Service Discovery, API Gateway, User Authentication, Feature Manager, Deployment Tracker) using Java Spring Boot and Oracle SQL
- 🏗️ Implemented microservices architecture with unit testing and CI/CD pipelines, ensuring scalable service delivery
- ☁️ Gained hands-on DevOps experience with Bitbucket Server, Jenkins, and Pivotal Cloud Foundry (PCF) for automated builds and cloud deployments
🎪 MindSpark — Web and App Coordinator
📅 Jun 2023 – Jan 2024 | 📍 Pune, India
- 👥 Led a team of six developers to build and deploy web applications for COEP’s student-led technical festival
- 🤖 Automated workflows including 40+ event pages and a dynamic certificate generation portal, delivering an engaging user experience with React.js, Node.js, and Three.js
🎓 Education
🏛️ COEP Technological University
BTech in Electronics and Telecommunication
📅 Nov 2022 – May 2026 | 📊 CGPA: 8.10
📚 Maharashtra Junior College, Savedi, Ahmednagar
Higher Secondary Education - Science
📅 March 2022 | 📊 Percentage: 88.67%
🛠️ Skills
💻 Languages: C/C++, Java, Python, Go, JavaScript, TypeScript, SQL, HTML, CSS
🔧 Technologies: Spring Boot, React.js, Node.js, Next.js, MongoDB, Firebase, GraphQL, PyTorch, LangChain
🧰 Tools & Platforms: Git, Docker, Jenkins, AWS, Google Cloud Platform
🏆 Competitions & Achievements
- 🥇 Smart India Hackathon 2023 — Winner (Ministry of Education’s Innovation Cell and AICTE)
- 🎯 Code for Change — Mastercard (Aug 2024)
- 💡 Tietoevry Hackathon — MindSpark (Oct 2024)
📬 Let’s Connect!
Feel free to reach out if you want to collaborate on a project, discuss tech, or just say hi! 👋
