Headline

Full-Stack Engineer | AI & Data Science Intern @ Infosys Springboard | CS & Design Engg ’26 | Building Scalable, Real-World Systems

About

Engineer by training. Builder by default. I work at the intersection of software engineering, AI-driven systems, and product execution—shipping things that actually get used. Currently a CS & Design Engineering undergrad (2026), I’ve built and led real systems end-to-end: Applicant Tracking Systems, Team Management Platforms, AI-backed data products, and production web apps. I’m comfortable moving from problem framing → system design → implementation → iteration. My strength is execution with structure: Designing clean data models & APIs Writing production-grade backend + frontend Applying ML where it adds leverage, not buzz Leading small teams and unblocking delivery Recently worked on AI/Data Science systems (wildfire risk prediction, classification pipelines, calibration), and previously on full-stack platforms used by students, teams, and organizations. I’m actively building toward roles where I can grow into a Tech Lead / Product Engineer—owning systems, mentoring engineers, and shipping high-impact products. Core focus areas: Full-Stack Engineering · AI/ML Systems · Backend & APIs · System Design · Product Thinking · Execution Always learning. Always shipping. Open to internships, entry-level roles, and serious collaborations.

Location

Nashik

AI stack

codex

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Work experience

AI and Data Science Intern at Infosys Springboard, Sep 2025 - Dec 2025 · 4 mos, Remote, Built an end-to-end wildfire risk prediction web application to support faster, safer operational decision-making using weather data Delivered a production-ready product predicting FWI (Forest Weather Index), fire probability, and risk bands (Very Low → Very High) for daily planning Cleaned and structured historical CSV datasets; standardized features and aligned labels to real-world fire vs. non-fire outcomes Trained and evaluated Ridge Regression (FWI estimation) and Logistic Regression (fire classification) with proper validation and scaling Calibrated risk thresholds based on actual data distribution, reducing false “High” alerts and improving on-ground actionability Designed Flask REST APIs for model training and inference; integrated them into a responsive web interface Built a non-technical UX with one-click demo inputs (Low / Moderate / High) and clear risk messaging for quick briefings Enabled proactive patrol planning, permit decisions, and resource allocation, improving safety, compliance, and cost control

Associate Team Lead at StartupWorld, Mar 2025 - Sep 2025 · 7 mos, Remote, Revamp and Improve the StartupWorld Project of BPSI, Lead the Devlopment of Project

Back End Developer at Arohi Software, Nov 2024 - Apr 2025 · 6 mos, India, Built responsive front-end interfaces using HTML, CSS, and JavaScript frameworks. Developed RESTful APIs for backend communication. Managed databases like MongoDB and MySQL for efficient data storage. Deployed applications to servers ensuring smooth operation.

Vice President at ECell MET, Aug 2024 - Jan 2026 · 1 yr 6 mos, Hybrid

President at Student Association of Computer Science and Design Engineering, Aug 2024 - Jan 2026 · 1 yr 6 mos, Nasik, Maharashtra, India

Treasurer at ECell MET, Dec 2023 - Jul 2024 · 8 mos, Hybrid

Tech Team and Founding Member at ECell MET, Sep 2023 - Dec 2023 · 4 mos, Nashik, Maharashtra, India

Web Team Coordinator at Student Association of Computer Science and Design Engineering, Aug 2023 - Aug 2024 · 1 yr 1 mo, Nashik, Maharashtra, India

Education

Bachelor of Technology - BTech, Computer Science and Design, Mumbai Educational Trust, MET League of Colleges

HSC, science, KRT Arts, BH Commerce and AM Science (KTHM) College, Nashik