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Ritarshi BandyopadhyayAI/ML Engineer
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I teach AI, Machine Learning, Data Science, and DSA with a focus on clarity, real-world logic, and strong fundamentals. I’ve trained 200+ learners through workshops and 1-on-1 mentoring, helping them move from confusion to full confidence in these subjects.
What students get from my sessions: • Clear explanations of complex topics like neural networks, NLP, CV, algorithms, and time complexity • A strong foundation in coding, problem-solving, and structured thinking • Practical understanding through examples, mini-projects, and real industry workflows • Step-by-step guidance tailored to their pace, no rushing, no jargon • Support for exams, assignments, projects, and interview preparation
What makes my teaching different: • I work on real AI systems (LLMs, CV models, data pipelines), so I teach how concepts are actually used • I simplify every topic using intuition, visuals, and real cases instead of abstract theory • I focus on long-term understanding, not memorization • My sessions are direct, interactive, and outcome-driven
If you want to build strong fundamentals, think like a problem-solver, and gain practical skills that actually matter in tech, I’ll help you get there with clarity and confidence.
Subjects
Machine Learning Beginner-Expert
Data Structure (C++) Beginner-Expert
Data Science (Mathematics) Beginner-Expert
Artificial intelligence and machine learning Beginner-Intermediate
Data science and data analysis Beginner-Expert
Experience
AI/ML Engineer (Oct, 2024–May, 2025) at Hubnex Labs, Gurugram
• Led the development of production-grade AI systems leveraging LLM APIs and NLP pipelines for resume evaluation, boosting user retention by 15%. • Built an automated job description generator with Google Generative AI, reducing recruiter effort by 60% and shortening hiring cycles by 50%. • Implemented semantic skill matching using vector embeddings and cosine similarity, improving job-candidate alignment, boosting platform engagement by 30%. • Developed an AI-based Audio Interview Assistant using Google Gemini Flash 2.0, automating response evaluation and reducing recruiter workload by 40%. • Engineered robust data pipelines using Pydantic and FastAPI, generating structured candidate assessments in APA format via ReportLab. • Tuned preprocessing, prompt design, and inference parameters to optimize language model output, improving evaluation accuracy by 15%.
Education
Computer Science Engineering (Jul, 2022–now) from TECHNO MAIN SALTLAKE KOLKATA