AI Engineer & Creative Developer specializing in applied AI, retrieval-augmented generation, and data analytics. Transforming raw data into actionable intelligence.
I work at the intersection of data, machine learning, and product. Every model trained, every dashboard shipped, and every API deployed is a chance to turn raw numbers into decisions people can actually act on.
Things I've
shipped.
DocSoft: Multi-Tenant RAG API
Production RAG microservice with automated CI/CD, tenant isolation via namespace-scoped API keys. Load-tested to 1.48s p50 / 2.16s p95 with deterministic eval proving 6/6 document facts resolved.
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PySpark ETL Pipeline: NYC Taxi Analysis
Scaled a Bronze→Silver→Gold pipeline to 3.5M+ real-world NYC TLC trip records/month on Azure Databricks with Delta Lake. Orchestrated via a scheduled, dependency-linked Databricks Workflow (ETL → validation → failure alert). Found and fixed a live data-quality bug (an erroneous $863K fare on a 1.6-mile trip skewing revenue 5x) and optimized duration metrics using percentile_approx for sub-linear cost at scale. Verified determinism across 3 runs on 2.8M+ rows and built zero-maintenance self-updating date logic.
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Olist Revenue & Retention
SQL-to-Streamlit pipeline analyzing 94,398 customers and R$15.6M in revenue. Identified 23,082-customer at-risk segment (39.6% of revenue) and proposed reactivation campaign projecting ~900% ROI.
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Zomato Restaurant Analysis
Cleaned 51,717+ Bangalore restaurant records using Pandas. Built interactive Power BI dashboard with DAX measures, cross-chart filtering, and geographic heat maps identifying high-opportunity market segments.
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IPL Cricket Analytics
End-to-end analytics dashboard over 16 IPL seasons, 8 teams, and 988 matches with team, player, and season filters powering interactive Plotly visualizations. Optimized using vectorized Pandas operations.
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Superstore Sales Dashboard
Designed a single-page executive dashboard on 10,000+ records — KPI cards, monthly trend, treemap, regional bars, and a US geo map with cross-chart filtering.
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Anti-Crash & Object Detection
Parking-assistance prototype using radar and sonar sensors for real-time obstacle detection across 3+ environments, enabling collision avoidance.
Programs with
real impact.
Completed 7-course certificate covering AI Fundamentals, ML, Data Analysis, GenAI, and App Building. Built 20+ hands-on AI artifacts and deployed a custom AI application.
Built a Python probability-of-default model on a loan portfolio. Bucketized FICO scores into 5 risk tiers using dynamic programming to improve credit-risk interpretability.
Used Generative AI and Python to extract insights from sales data. Delivered a CEO-style brief with 3 strategic recommendations simulating Tata consulting workflows.
Analysed business datasets to identify anomalies and trends. Delivered actionable recommendations with 100% task completion across a cross-functional virtual team.
Beyond the
classroom.
Led a 100+ student technical community at JSS Academy, organizing workshops and peer-led sessions bridging academic theory with practical engineering.
Coordinated innovation and IP rights events for 200+ students, improving inter-department engagement by 35%.
Mentored 20+ students for competitive exams through structured sessions on analytical reasoning and problem-solving.