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I am an AI, classical ML and image processing specialist with 7+ years of experience designing and deploying algorithms for semiconductor and security applications. I have hands-on proficiency in Python, TensorFlow, PyTorch, Scikit-Learn and OpenCV, and have delivered results in computer vision, deep learning and signal processing across diverse domains. I thrive on transforming complex problems into scalable, production-ready AI/ML solutions and collaborating with cross-functional teams to deploy robust systems. I am eager to drive innovation in cutting-edge industries and am immediately available to contribute to impactful projects in AI/CV, data science and security engineering.…I am an AI, classical ML and image processing specialist with 7+ years of experience designing and deploying algorithms for semiconductor and security applications. I have hands-on proficiency in Python, TensorFlow, PyTorch, Scikit-Learn and OpenCV, and have delivered results in computer vision, deep learning and signal processing across diverse domains. I thrive on transforming complex problems into scalable, production-ready AI/ML solutions and collaborating with cross-functional teams to deploy robust systems. I am eager to drive innovation in cutting-edge industries and am immediately available to contribute to impactful projects in AI/CV, data science and security engineering.

Nitish Kumar

Data Scientist, AI Engineer, AI Developer, +7

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I am an AI, classical ML and image processing specialist with 7+ years of experience designing and deploying algorithms for semiconductor and security applications. I have hands-on proficiency in Python, TensorFlow, PyTorch, Scikit-Learn and OpenCV, and have delivered results in computer vision, deep learning and signal processing across diverse domains. I thrive on transforming complex problems into scalable, production-ready AI/ML solutions and collaborating with cross-functional teams to deploy robust systems. I am eager to drive innovation in cutting-edge industries and am immediately available to contribute to impactful projects in AI/CV, data science and security engineering.…I am an AI, classical ML and image processing specialist with 7+ years of experience designing and deploying algorithms for semiconductor and security applications. I have hands-on proficiency in Python, TensorFlow, PyTorch, Scikit-Learn and OpenCV, and have delivered results in computer vision, deep learning and signal processing across diverse domains. I thrive on transforming complex problems into scalable, production-ready AI/ML solutions and collaborating with cross-functional teams to deploy robust systems. I am eager to drive innovation in cutting-edge industries and am immediately available to contribute to impactful projects in AI/CV, data science and security engineering.

Available to hire

I am an AI, classical ML and image processing specialist with 7+ years of experience designing and deploying algorithms for semiconductor and security applications. I have hands-on proficiency in Python, TensorFlow, PyTorch, Scikit-Learn and OpenCV, and have delivered results in computer vision, deep learning and signal processing across diverse domains. I thrive on transforming complex problems into scalable, production-ready AI/ML solutions and collaborating with cross-functional teams to deploy robust systems.

I am eager to drive innovation in cutting-edge industries and am immediately available to contribute to impactful projects in AI/CV, data science and security engineering.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Algorithm Developer (Technical Lead) at Applied Materials

March 1, 2023 - Present

Led the development of deep reinforcement learning algorithms to automate CAD-to-SEM image registration for semiconductor inspection, reducing manual calibration. Automated simulation parameter tuning with Optuna, cutting calibration time on-site by ~40%. Designed automated ROI detection for 3D NAND metrology, enabling high‑resolution scans with 3 µm precision. Implemented ML-based classifier to predict optimal registration scores with >80% accuracy. Improved coarse edge extraction accuracy with Elastix/ITK-based registration. Prototyped GAN-based image inpainting for defect repair. Collaborated with global teams to deploy solutions across Applied Materials facilities and resolve field issues in Tier-1 manufacturing.

Scientific Officer at Bhabha Atomic Research Centre (BARC)

August 1, 2018 - February 1, 2023

Engineered DSP-FPGA algorithms for triboelectric sensor intrusion detection achieving 100% detection and 90%+ classification accuracy. Developed phase demodulation for fiber-optic PIDS to localize intrusions to ±50 m. Applied TKEO and DWT with ML models for real-time signal analysis under tight computational constraints. Built and validated Simulink models for high-voltage energizer systems, accelerating prototyping cycles by 30%. Optimized embedded signal-processing code for low-memory, real-time security applications.

Education

M.Tech in Electrical Engineering with specialization in Nuclear Engineering at Homi Bhabha National Institute, Mumbai

August 1, 2017 - July 31, 2019

B.E. (Honors) in Electrical Engineering at Jabalpur Engineering College, Jabalpur

August 14, 2012 - May 31, 2016

Qualifications

Best paper award for the research paper titled “Event Detection and Classification Algorithm using Wavelet and Machine Learning Technique for Vibration fence PIDS” in 2020 International Conference on Computing, Communication and Security .

October 14, 2020 - October 16, 2020