AI/ML Engineer (Fresher) · Computer Vision · Edge AI · Deep Learning · Open to Opportunities

Remote

Bachelor of Technology - BTech, Electronic and Communications Engineering Technology
MIT World Peace University
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I'm a final-year ECE (AI/ML) student at MIT-WPU, Pune, with a strong focus on building real-world machine learning systems — not just training models, but deploying them end-to-end. My capstone project is an ADAS collision risk prediction system running fully on-device on a Raspberry Pi 5 — a 7-stage real-time ML pipeline combining sensor fusion, Monte Carlo simulation, and probabilistic risk scoring. Building it taught me how messy real-world data is, and how to engineer around it. I'm also building a GPT from scratch to develop deep intuition for transformer architecture — tokenisation, self-attention, positional encoding — the kind of understanding that goes beyond using APIs. What I bring to a team: 🔹 Strong Python + ML fundamentals (PyTorch, Scikit-learn, OpenCV, YOLOv8) 🔹 Experience deploying AI on edge hardware (Raspberry Pi, ESP32) 🔹 Data pipeline design, probabilistic modelling, and structured logging 🔹 SQL, Pandas, NumPy for data analysis workflows I'm actively looking for fresher roles in AI/ML, Computer Vision, or Data Science where I can contribute to meaningful, production-grade systems. 📩 Open to opportunities — feel free to reach out: komalkaushal513@gmail.com
Pune Division
Structured Problem Solving Program · AlgoZenith Feb 2025 – Aug 2025 · Self-paced at AlgoZenith, Feb 2025 - Aug 2025 · 7 mos, Remote, Completed an intensive DSA curriculum covering arrays, graphs, dynamic programming, and trees — 100+ problems solved Practised SQL query design across relational datasets, applicable to data analytics and ML data pipelines
Bachelor of Technology - BTech, Electronic and Communications Engineering Technology, MIT World Peace University