Headline

AI/ML Engineer | Specializing in Generative AI, LLMs, NLP | Python, TensorFlow, PyTorch | Focused on Building Scalable, Intelligent Solutions

About

AI/ML Engineer specializing in building production-ready Generative AI and machine learning systems that deliver measurable business impact. I have hands-on experience developing high-accuracy ML models (up to 95%) and deploying scalable AI solutions that improved operational efficiency by 40%. My expertise spans LLM applications, RAG architectures, NLP systems, and end-to-end model deployment on AWS using Docker-based containerization. I focus on taking AI beyond experimentation — designing systems that are optimized, monitored, and engineered for real-world reliability. From AI-powered business analytics platforms to adaptive chatbots with continuous learning loops, I build solutions that integrate seamlessly into existing workflows. Technical Stack: Python, TensorFlow, PyTorch, Hugging Face, LangChain, AWS (EC2, S3), Flask, FastAPI. I’m actively seeking opportunities where I can contribute to building scalable AI products and solving complex, high-impact problems. My Portfolio: https://tapan-khandelwal-portfolio.onrender.com

Location

Jaipur

Work experience

Technical Developer at Cognus Technology, Jun 2025 - May 2026 · 1 yr, Jaipur

Machine Learning Engineer at IGeeks Technology, Jul 2024 - Aug 2024 · 2 mos, Bengaluru, Karnataka, India, Engineered ML/DL models to enhance AI applications, boosting platform performance. Applied generative AI techniques to refine predictive analytics and decision-making processes. Managed cloud computing resources (e.g., AWS ec2) to optimize AI operations and infrastructure. Collaborated with cross-functional teams to align AI initiatives with business goals and technical requirements. Worked on different types of data sets and built a predictive model with above 90% accuracy.

Education

Bachelor of Technology - BTech, Computer Science, Jagannath University, Jaipur