About
Engineer @ IIT KGP who loves turning ideas into products that scale.
Built SaaS platforms, AI tools, and real-time dashboards used by 1K+ users.
From APIs to distributed systems, I ship fast, test hard, and deploy smarter.
Worked with stacks like React, Next.js, Node.js, Redis, AWS, Docker, Kubernetes, n8n, MCP server and many more
Whether it’s 0→1 MVPs or scaling infra to handle chaos — I get it done.
Work
Chiltel Private Ltd
|Full Stack Software Developer Intern
Highlights
Built 4-panel system (consumer, rider, seller, admin) using React, MongoDB, and REST APIs, reducing steps by 40%
Set up CI/CD pipeline with Git integration, cutting deployment time from 45 to 15 minutes and reducing errors by 85%
Optimized web performance from 67% to 96% through JS async loading and Redis caching, decreasing load time by 1.8s
Integrated analytics dashboard with MySQL and data visualization, spotting 3 trends that raised conversions by 22%
Used horizontal partitioning with load balancing across servers, supporting 10K+ concurrent users with 99.9% uptime
Xellerates AI
|Data Science Intern
Highlights
Led development of AI-driven fundraising platform using Next.js, enhancing investor-startup matchmaking efficiency
Implemented multi-layered in-memory caching, reducing DB load by 60% and improving API response times by 250ms
Dockerized and orchestrated deployments with Kubernetes across environments, achieving 99.95% success rate
Developed AI-powered dashboards for startups and investors, providing real-time insights and performance tracking
Established CI/CD pipelines with Git integration, reducing deployment time and minimizing errors by 35%
Collaborated with cross-functional teams to design and implement features supporting over 1K+ concurrent users
Garuda Aerospace
|Data Analyst Internr
Highlights
Created speech-to-text model with Google Speech Recognizer and OpenAI Whisper, achieving initial WER of 121.336
Optimized efficiency by reducing processing time 8x and lowering AWS costs by 70% with a custom Hindi dataset
Reduced Whisper's WER by 35.5% through comprehensive end-to-end fine-tuning with transformers in PyTorch
Executed 5 data-driven features using PowerBI, providing actionable insights that increased retention by 22%
Reduced input tokens by 60% through preprocessing and applied Chain-of-Thought for improved comprehension
Education
Indian Institute of Technology, Kharagpur
Bachelor of Technology
Aerospace Engineering/Artificial Intelligence and Machine Learning
Skills
Languages
JavaScript, HTML/CSS, Python, C++, Java, MySQL, TypeScript.
Frameworks/Libraries
React, Node.js, Express.js, Next.js, MongoDB, Redis, Memcached, jQuery.
Tools & Technologies
Git, Docker, Kubernetes, AWS, CI/CD, Linux, Bash, REST APIs, Agile, Jira.
Python Libraries
NumPy, Pandas, Matplotlib, Scikit-Learn, TensorFlow, Keras, PyTorch, OpenCV, Requests, NLTK.
Concepts
Horizontal Partitioning, Load Balancing, Concurrency, Scalability, Caching, Microservices, MVC, MCP servers.