Headline

AI & ML Engineer | Data Science · Computer Vision · NLP · LangChain · Python · FastAPI | Backend & AI Developer.

About

AI & Data Science Engineer with 6+ months of hands-on production ML experience building Computer Vision and NLP systems that solve real-world problems. I specialize in end-to-end ML pipelines — from data preprocessing and model training to deployment and automation. At Digibull.ai, I built an Automated Optical Inspection (AOI) system using OpenCV and Python that reduced manual inspection effort by ~60%, and developed a Prompt Enhancement Framework that cut manual iteration by ~40%. Proficient in Python, TensorFlow, PyTorch, OpenCV, LangChain, FastAPI, and RAG architectures. I enjoy working at the intersection of AI research and practical engineering — turning models into reliable, production-ready systems. Currently seeking entry-level roles in ML Engineering, Data Science, Python/Backend Development.

Location

Mysuru

AI stack

anthropic apis

hugging face

openclaw

perplexity

Work experience

AI & Machine Learning Intern at DigiBull AI, Aug 2025 - Feb 2026 · 7 mos, Mysuru, Built an end-to-end Automated Optical Inspection (AOI) system using OpenCV and Python for cable defect detection, cutting manual inspection effort by ~60% Designed a backend workflow for automated defect identification and email alert notifications Developed a Prompt Enhancement Framework (PEF) to auto-optimize AI prompts, improving accuracy and reducing manual iteration by ~40% Managed the full ML lifecycle on real datasets — data cleaning, feature engineering, model training, validation, and evaluation using Scikit-learn and TensorFlow

Machine Learning Intern at Digibull.ai, Aug 2025 - Feb 2026 · 7 mos, ●​ Built an end-to-end AOI system using Python and OpenCV for cable defect detection, reducing manual inspection effort by 60% and automating email alert notifications ●​ Engineered a Prompt Enhancement Framework (PEF) with LangChain to auto-optimize AI prompts, improving model output accuracy by 40% and eliminating manual iteration cycles. ●​ Managed the full ML lifecycle on real industrial datasets — data cleaning, feature engineering, model training, validation, and evaluation using Scikit-learn and TensorFlow.

Intern at Quantum Learnings, Nov 2023 - Dec 2023 · 2 mos, Mysuru, Karnataka, India, Internship Program on Machine Learning and AI using Python by Quantum Learning

Education

Bachelor of Engineering - BE, Artificial Intelligence and data science, Visvesvaraya Technological University