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Building AI and ML-driven systems that turn complex data into real-world impact. Specializing in data analytics, machine learning, and intelligent insights — transforming raw data into scalable, decision-ready solutions.
AI & ML Engineer
Data Scientist with 6+ years of experience transforming complex datasets into actionable business insights. Strong background in SQL, Python, Power BI, and dashboard automation, with proven impact in revenue analysis, forecasting, and operational efficiency. Also experienced in building AI-enabled analytics applications using Django, Gemini API, and machine learning workflows. Effective at translating business questions into technical solutions and presenting findings to both technical and non-technical stakeholders.
A curated toolkit for building end-to-end AI systems — from research to production at scale.
A selection of ML systems and research projects built with precision and purpose.
Real-time card transaction risk scoring with explanations, dashboard analytics, history filtering, and a REST API.
Upload a CSV, define an analysis goal, and run a coordinated pipeline—planning, data, stats, charts, and narrative report—via a multi-agent orchestrator in Django.
Upload CSV or Excel, explore descriptive stats and automated summaries—an agent-style workflow for quick dataset insights in Django.
Upload images or video frames and generate natural-language captions with a vision–language model (BLIP) integrated in Django.
XGBoost regressor with target encoding and form-driven features; optional recommendations and saving predictions to your list.
Describe a movie in natural language and retrieve similar titles with posters, match scores, and overviews.
Verified expertise across machine learning, cloud, and AI engineering.
Open to research collaborations, senior roles, and interesting problems. Drop a message.