MSc Data Science | Machine Learning | Generative AI | RAG | Python | SQL

Bengaluru, Karnataka, India





MSc. Data Science
Lovely Professional University

Bachelor of Computer Application
St. Francis College Bengaluru
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Download Tal BossMSc Data Science | Machine Learning | Generative AI | RAG | Python | SQL
I’m an M.Sc. Data Science graduate focused on building practical Machine Learning and AI systems using Python, SQL, and modern AI technologies. My interests include Machine Learning, Generative AI, Retrieval-Augmented Generation (RAG), LLM applications, AI agents, computer vision, and intelligent automation. I enjoy turning AI concepts into working applications that solve real-world problems. I work across the ML lifecycle, from data preprocessing, feature engineering, and experimentation to model development, evaluation, and building AI-powered applications. I’m particularly interested in the engineering side of AI — developing systems that are reliable, useful, and production-oriented. Core Skills Languages: Python, SQL, JavaScript Machine Learning: Scikit-learn, PyTorch, Statistical Modeling, Feature Engineering Generative AI: LLMs, RAG, LangGraph, LangChain Computer Vision: MediaPipe, Real-Time Vision Data: Pandas, NumPy, Matplotlib, Seaborn Development: FastAPI, React, Git, GitHub Tools: Jupyter, Power BI, Excel My recent work includes building an LLM/RAG-based assessment recommendation system, VELAR — a real-time computer-vision and gesture-recognition application, and a hybrid quantum-classical time-series forecasting model. I’m currently seeking opportunities in Machine Learning Engineering, AI Engineering, Generative AI, RAG, AI Agents, and Computer Vision, where I can build practical AI systems and continue developing as an engineer.
Bangalore Urban
claude
codex
gemini
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Python Developer Intern at Rubixe - AI Solutions Company, May 2024 - Jun 2024 · 2 mos, Bengaluru, Karnataka, India
MSc. Data Science, Lovely Professional University
Bachelor of Computer Application, St. Francis College Bengaluru
github: https://github.com/manjakkadan