Headline

Pursuing ENTC from P.V.G.C.O.E.T | Web Development | Data Structure & Algorithms -Java

About

I’m a passionate Web Developer & Data Science enthusiast with hands-on experience in building scalable full-stack applications and developing AI/ML-powered solutions. On the development side, I specialize in crafting responsive and interactive UIs with React, Next.js, and Tailwind CSS, integrating REST APIs, and deploying full-stack apps with Node.js, Express, and MongoDB. My projects include a 3D interactive portfolio and CarePlus, a healthcare management system enhanced with AI-driven doctor recommendations. On the data side, I’ve worked on advanced machine learning solutions such as churn prediction models, NLP-powered fake news detection, and CNN-based plant disease diagnostics—achieving up to 94% accuracy and deploying on cloud platforms like AWS and Streamlit. With strong foundations in data structures, algorithms, and software engineering, plus a track record of solving 650+ problems on LeetCode (1720+ rating, Top 15%), I bring analytical rigor and technical creativity to every project. I’m eager to collaborate on impactful AI-driven applications, full-stack projects, and data science solutions that enhance user experience and drive business outcomes.

Location

Pune Division

AI stack

claude code

cursor

deepseek

gemini

hugging face

kimi

langgraph

langsmith

lovable

openai

perplexity

railway

replit

Work experience

Full Stack Engineer at Clarusto Technologies, Apr 2025 - Present · 1 yr 4 mos, Remote, Engineered dynamic and responsive web applications using React.js, Node.js, Express.js, and MongoDB. Developed efficient APIs and optimized performance through seamless front-end and back-end integration. Successfully completed a Full Stack Development internship, enhancing user experience.

Full-stack Developer at Avirait Technologies Pvt Ltd, Jan 2025 - Apr 2025 · 4 mos, Pune District, Maharashtra, India, Optimized customer retention for e-commerce platforms by developing and deploying a churn prediction model on AWS. Achieved 89% accuracy using a Random Forest/XGBoost model validated with k-fold validation. Analyzed over 2TB of customer data to identify three key drivers of churn. Collaborated with four engineering teams to implement dashboards, which reduced false positives by 22%.

Education

Bachelor of Engineering - BE, Electrical, Electronic and Communications Engineering Technology/Technician, Pune Vidhyarthi Griha's College Of Engineering And Technology