I am a Generative AI Engineer and AI Team Lead with 5 years of experience building scalable AI and backend systems across enterprise and product environments. Currently leading a 07-member engineering team at Cisco, where I architect and deploy enterprise GenAI platforms serving 40K+ internal users. At Cisco, I design and implement secure, production-grade Generative AI systems using Large Language Models (LLMs), RAG pipelines, and intelligent model routing. I specialize in LLM fine-tuning and optimization using PEFT, QLoRA, and Unsloth — enabling cost-efficient training on limited GPU infrastructure. I have led end-to-end architecture including: • Secure multi-tenant RAG systems with RBAC & JWT authentication • Hybrid retrieval with Vector Databases (Pinecone/Chroma) • LLM observability (Recall@K, hallucination rate, P95 latency, token monitoring) • FastAPI microservices containerized with Docker and deployed on Kubernetes • Production monitoring using Prometheus & Grafana Previously at KB Pvt Ltd, I worked as a Python Full Stack Developer (AI/ML) where I built AI-driven automation systems and scalable backend services. I developed an AI framework that converted 42,000+ manual test cases into automated scripts using GPT-4 and Gemini, achieving 97% automation accuracy. I also: • Designed RESTful APIs using FastAPI/Flask • Built CI/CD pipelines for nightly automation runs • Improved system scalability with Kubernetes horizontal auto-scaling • Developed dynamic React.js UI components with performance optimization (lazy loading, memoization) Earlier in my career, I worked on robotics and AI-based systems, integrating hardware and software to build intelligent automation solutions. I am passionate about building secure, scalable, and high-impact AI systems that move from experimentation to real-world enterprise deployment. ⸻ 🛠 Tech Stack Generative AI & LLMs: LLMs, RAG, LangChain, Hugging Face Transformers, OpenAI, Gemini, Prompt Engineering, PEFT, QLoRA, Unsloth, Vector Databases Backend & APIs: Python, FastAPI, Flask, Django, REST APIs, JWT, RBAC Machine Learning & Data: PyTorch, TensorFlow, Scikit-Learn, XGBoost, Pandas, NumPy, NLP Cloud & DevOps: Docker, Kubernetes, CI/CD, GitHub Actions, Jenkins, Prometheus, Grafana, AWS, GCP, Azure Frontend: React.js, Angular, HTML, CSS