About

AI Software Engineer with over 6 years of experience specializing in Generative AI, Large Language Models (LLMs), and Agentic RAG architectures along with traditional Machine Learning, Predictive Modelling. Proven track record of taking complex business needs, collaborating with cross-functional stakeholders, and transforming them into scalable, production-ready solutions that maximize automation and efficiency.

Data Science, Machine Learning & AI

• Develop and ship AI powered tools, workflows, product features; AI tools adoption across organization
• RAG application development utilizing LLMs, VectorDb, OCR, AI agents, etc.
• Model evaluation and selection using various statistical parameters and key business metrics
• Model deployment and inference at large scale (millions of data points) and present the insights to senior executives
• Work with large scale data using big data technologies (HDFS, PySpark, etc.)
• Model development and training using various machine learning algorithms (regression, XGboost, decision tree, NLP, neural networks, etc)
• Implementation of feature engineering, transformation, selection and scaling techniques
• Create data pipeline (collection, ingestion, storage, processing, monitoring) using crawler, APIs, PySpark, Beeline, etc required for model development
• Create documentation for model development, architecture and workflows
• Design restful APIs using Fast API, Django, Flask for end user model inference
• Comfortable with complex problem which includes heavy mathematics

Web Development

• Designed and deployed web applications solutions such as Inventory Management Systems, Ecommerce Market Monitor, Database Management System

Team Management

• Led a team of 4 developers and analysts in delivering scalable tech solutions
• Collaborated with cross-functional teams to plan and execute mission-critical projects