π― AI Engineer with 5+ years of experience building and deploying production-grade machine learning and Generative AI systems. Passionate about designing agentic workflows, LLM-powered platforms, and customer intelligence engines at scale.
- π¨βπΌ Currently at KPMG, delivering enterprise AI solutions for telecom and BFSI clients
- π€ Building Agentic AI systems to automate decision-making and business processes
- π Leading GenAI-powered document automation using LLaMA 3, RAG, PEFT, and LoRA
- π Architecting multilingual customer platforms with ChatGPT API + Azure
- π οΈ Driving MLOps transformations using Azure DevOps, Functions, and containerized workflows
- π Delivering measurable impact via predictive analytics, recommendations, and dashboards
- Developed multi-lingual summarization, sentiment analysis, and intent detection systems using ChatGPT, Azure OpenAI, and custom LLMs
- Built automated support and insights engines reducing resolution time by 70%
- Implemented intelligent multi-agent pipelines using the Agno framework for finance and telecom
- Designed autonomous agents for churn prediction, lead scoring, and journey mapping
- Deployed ML solutions using Azure Functions, CI/CD Pipelines, and Dockerized APIs
- Reduced compute latency by 80% by migrating legacy ML pipelines to cloud-native infrastructure
Domain | Tools & Technologies |
---|---|
Languages | Python, SQL, JavaScript |
ML/AI | Scikit-Learn, XGBoost, Deep Learning, Recommender Systems |
GenAI & NLP | ChatGPT, OpenAI API, LangChain, RAG, LLaMA 3, PEFT, LoRA |
Agentic AI | Agno, Multi-agent Systems, Reasoning Agents |
Cloud & MLOps | Azure, Azure DevOps, Docker, Flask, Azure Functions |
Databases | MySQL, MongoDB |
Dashboards | Power BI |
Frontend | HTML, CSS, JavaScript |
- βοΈ AI document drafting engines with LLaMA 3, PEFT, and LoRA
- π¬ Multilingual customer insight platform powered by GenAI
- π§ Reusable agentic workflows and accelerators for enterprise AI use
- π― Enterprise GenAI & Agentic AI platforms
- βοΈ Azure-based MLOps & scalable deployments
- π Data strategy & end-to-end ML implementation
π§ βDriven by data, shaped by intelligence, and scaled with code.β