Professional Overview
### AI Engineer | Generative AI | LLMs | RAG | Agentic AI Python GenAI Developer with 3+ years of experience building AI/ML and Generative AI applications, with a strong focus on LLM-powered systems, RAG pipelines, AI agents, and real-time voice AI. Experienced in developing production-oriented AI solutions using Python, FastAPI, LangChain, Llama
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built and maintained production-grade GenAI applications using Python, LLMs, RAG
- Designed multilingual real-time voice AI workflows using WebSockets, LiveKit, SI
- Developed RAG pipelines with vector search, reranking, agentic retrieval, memory
- Deployed and managed LLM inference services using Ollama, vLLM, and NVIDIA NIM o
- Developed AI automation agents using multi-agent workflows, REST APIs, function/
Key Achievements / KPIs
- Enabled real-time voice agentic workflows for banking and enterprise customers t
- Improved RAG response quality by integrating reranking, long-term memory, agenti
- Delivered production-ready AI agents for email automation and secure password-re
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built and maintained production-grade GenAI applications using Python, LLMs, RAG
- Designed multilingual real-time voice AI workflows using WebSockets, LiveKit, SI
- Developed RAG pipelines with vector search, reranking, agentic retrieval, memory
- Deployed and managed LLM inference services using Ollama, vLLM, and NVIDIA NIM o
- Developed AI automation agents using multi-agent workflows, REST APIs, function/
Key Achievements / KPIs
- Enabled real-time voice agentic workflows for banking and enterprise customers t
- Improved RAG response quality by integrating reranking, long-term memory, agenti
- Delivered production-ready AI agents for email automation and secure password-re
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
