Results-driven AI/ML Engineer with 3+ years of experience in designing, developing, and deploying scalable machine learning and NLP solutions across telecom and enterprise domains. Proven expertise in Python-based development, model training and optimization, and end-to-end ML lifecycle management on cloud platforms like AWS (SageMaker, Bedrock). Skilled in classical ML algorithms (Logistic Regression, XGBoost), deep NLP (BERT), and generative AI using LLMs. Delivered impactful projects including predictive churn models, GPT-powered semantic search, and agentic AI systems using LangChain and AutoGen. Adept at integrating AI services with APIs, RPA bots, and microservices to drive automation and operational efficiency. Strong communicator with a passion for building intelligent, production-ready AI systems.
Programming & Frameworks Python, TensorFlow, scikit-learn, XGBoost, spaCy, FastAPI, Streamlit, Hugging Face Transformers ML & AI
ML & AI Linear Regression, Logistic Regression, BERT-based NLP Models, Supervised Learning, NLP, Generative AI, Multi-Agent Orchestration, Semantic Search, Model Deployment
LLM & Agentic AI LangChain Agents, AutoGen, ReAct Pattern, Retrieval-Augmented Generation (RAG), Vector Search (FAISS), Prompt Engineering, Tool-Use via Agents, Planning & Reasoning, AWS Bedrock
Cloud & DevOps AWS (SageMaker, Bedrock, Lambda, S3), Azure, GCP, Docker, Git, CI/CD Pipelines
Data Engineering & Visualization Pandas, NumPy, SQL, RESTful APIs, Power BI, Microservices, JSON/XML
Data Engineering & Visualization Pandas, NumPy, SQL, RESTful APIs, Power BI, Microservices, JSON/XML
Tools & Platforms LangChain, AutoGen, VSCode, Jupyter, Postman, GitHub Actions