Professional Overview
Principal Machine Learning and GenAI Engineer with 9+ years of experience building production AI systems, including GenAI platforms, multi-agent workflows, forecasting pipelines, recommendation systems, and real-time ML services. Skilled in Python, FastAPI, LangGraph, cloud deployment, and enterprise LLM integrations across AWS, Azure, and GCP.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built two GenAI backend applications, one Flask based and one LangGraph based
- The LangGraph app had streaming chat, multi-agent orchestration
- The LangGraph app JWT authorization, logging, guardrails, usage tracking
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built an AI interview platform for summaries, scoring, and feedback
- Developed a live interview agent and deployed it to AWS production
- Built Flask-based LLM summarization services using GPT-3.5 and GPT-4
- Developed PySpark forecasting pipelines with Prophet and SARIMAX
- Led AutoTS MLOps with MLflow, Delta Lake, Dynaconf, and CI/CD
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built sales forecasting solutions for Estée Lauder product categories
- Developed a real-time IoT platform using HTTP, SNMP, and Python
- Built a used-car pricing engine using ML, EDA, and fuzzy matching
Education
Field of Study: Electronics Engineering
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.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
