Headline

Data Science Enthusiast | Machine Learning & AI Programmer | Seeking Opportunities in Data Science | Deep model developer

About

Data Science undergraduate at IIT Madras with hands-on internship experience in computer vision, machine learning, and data analytics. Strong problem-solving background from academic projects, research. Passionate about leveraging data and AI for real-world impact while exploring paths in research, entrepreneurship, and leadership. 🔹 Data Science & ML: Built and optimized models (CNNs, segmentation, regression, decision trees, transformers) for real-world datasets; applied statistical analysis and visualization for actionable insights. 🔹 Computer Vision Internship: Developed a bolt-nut segmentation pipeline to improve defect detection accuracy; collaborated with cross-functional teams for image quality verification. 🔹 Research & Writing: Explored deep learning, LLMs, and philosophy-driven perspectives on intelligence and cognition 🔹 Technical Stack: Proficient in Python, R, SQL, C/C++, Scikit-learn, TensorFlow, PyTorch, Tableau, and Power BI; experienced in cloud workflows and collaborative tools. 🔹 Leadership & Startups: Co-founded Buynot, an exchange platform for goods; learned resilience from startup challenges; led initiatives in academic and cultural events. 🔹 Holistic Growth: Balanced technical training, philosophy, and meditation; cultivated clarity in decision-making and problem-solving under pressure. 🔹 Career Focus: Open to roles in Data Science, AI/ML, Research, Consulting.

Location

Greater Chennai Area

AI stack

antigravity

codex

cursor

Work experience

Data science intern Tensor planet at Tensor Planet Inc., Feb 2026 - Present · 7 mos, Work from home

Data Scientist at Tensorplanet, Feb 2026 - Present · 7 mos, ●​ Fleet Health Alert Pipeline (MLOps): Architected and deployed a fully automated, multi-client pipeline using Prefect to monitor commercial fleets for Diagnostic Trouble Codes (DTCs), battery health, and DOT sticker renewals. ●​ Scalable Client Architecture: Designed a client-scoped deployment model utilizing single-codebase architecture and per-client YAML configurations. Enabled zero-code onboarding for new fleet clients (e.g., Troiano, Des Moines) via environment variable routing. ●​ Telemetry Automation & Lifecycle Tracking: Automated the ingestion of raw vehicle telemetry directly from AWS S3. Engineered the end-to-end alert lifecycle: calculating daily fault metrics, reconciling alerts with maintenance work orders, validating outputs, and dispatching automated email reports to operators. ●​ Downtime & Cost Reduction: Utilized customized, rule-based predictive maintenance models to forecast vehicle failures, significantly reducing secondary repair costs and minimizing vehicle operational downtime.

Deep Learning Specialist at Renault Nissan Technology & Business Centre India, Apr 2025 - Present · 1 yr 5 mos, Pioneered the development and deployment of Computer Vision models for corrosion detection, significantly enhancing predictive maintenance accuracy and reducing downtime. Engineered advanced 3D segmentation pipelines utilizing PointNet and RNN architectures for industrial component analysis and automated mesh quality evaluation. Designed and implemented a semantic search system leveraging deep learning embeddings to automate part retrieval, successfully reducing operational costs and human dependency. Delivered end-to-end deployed AI models (segmentation, classification, object analysis) integrated into real-world production systems.

Project Intern at Renault Nissan Technology & Business Centre India, Apr 2025 - Feb 2026 · 11 mos, Chennai, Tamil Nadu, India, Renault Nissan Technology & Business Centre India (RNTBCI) 📍 Chennai, India | Apr 2025 – Feb 2026 Developed and deployed Computer Vision–based AI solutions for corrosion detection, improving predictive maintenance accuracy and reducing operational downtime. Engineered advanced 3D segmentation pipelines using PointNet and RNN architectures for industrial component analysis and automated mesh quality evaluation. Designed a deep learning–powered semantic search system to automate intelligent part retrieval, significantly reducing manual effort and operational costs. Delivered end-to-end production-ready AI models, including segmentation, classification, and object analysis systems integrated into real-world production environments. Awarded a Certificate of Appreciation for outstanding technical contribution, innovation, and successful project execution.

Hybrid Telemedicine Concept (Independent Research) at Conceptual Stage / Market Feasibility Analysis, Feb 2021 - Apr 2021 · 3 mos, Jaipur, My passion for technology extends to solving real-world challenges. For instance, I independently researched a hybrid telemedicine model aimed at improving rural healthcare accessibility. Although this remained at the conceptual stage, the process of designing a workflow that bridged the gap between remote patients, on-site nurses, and specialists gave me valuable insights into systems thinking and the power of data-driven, scalable solutions

Buynot at I explored some products exchange ideas, Nov 2020 - Jan 2021 · 3 mos, Delhi, India

Education

Bachelor of Science - BS, Data Science, Indian Institute of Technology, Madras

12th class, jee preparation and 12th class, Resonance Eduventures Limited