AB Abhishek Bhatnagar

Projects

Side-projects and case studies

A mix of curiosity-driven products and deeper systems work across backend engineering, data products, fintech infrastructure, and trust-heavy workflows.

Side Projects

Data Products and Public Signals Public data made readable

Macro Pulse

A public-data macro platform that ingests rate, inflation, and credit series, computes derived spreads and regime comparisons, and presents them through charts, watch surfaces, and plain-English explainers.

Turns noisy macro series into a full product system with ingestion, normalization, derived metrics, comparison logic, and user-facing summaries that stay descriptive rather than speculative.

Historical context
  • FastAPI
  • Python
  • Pandas
  • Plotly
B2B Marketplace and Product Platform Marketplace product

Indian Specialty Coffee Sourcing Platform

A full-stack B2B sourcing platform for Indian specialty coffee that combines supplier onboarding, lot discovery, readiness-aware ranking, inquiry workflows, and explainable recommendation logic.

Moves coffee sourcing beyond listing pages by turning logistics, compliance, and supplier readiness into first-class product inputs that improve discovery quality, recommendation trust, and inquiry conversion.

Trust before conversion
  • FastAPI
  • Python
  • Postgres
  • Supabase Auth
Media Intelligence and Summarization Race-week explainers

F1 Intelligence Hub

A race-week intelligence system that ingests regulations, results, team signals, and media coverage, then organizes them into source-backed summaries, trend cards, and clearly labeled fact-versus-prediction surfaces.

Combines ingestion, source attribution, topic clustering, summarization workflows, and editorial guardrails to turn fast-moving F1 information into a usable product surface.

Signal over noise
  • FastAPI
  • Python
  • Postgres
  • RSS ingestion
Consumer Marketplaces and Pricing Deal intelligence

Marketplace Flip Radar

A hobby product for spotting secondhand deals across local marketplaces, estimating fair price bands, and organizing resale opportunities.

Turns messy local listings into a cleaner pricing workflow with fair-value ranges, listing history, and opportunity tracking.

Pricing clarity
  • FastAPI
  • Postgres
  • Python
  • Scraping pipelines

Foundational Projects

Systems that shaped how I build

These projects reflect how I learned to build systems from the ground up across startup experiments, graph-based discovery systems, trust and operations tooling, financial infrastructure, and ML-enabled workflows. They were foundational not just because of the technology involved, but because they shaped how I think about product, reliability, and execution.

Knowledge Graph and Discovery Product Data / Platforms

YourStory Startup Graph

Built a graph-based startup intelligence system to map founders, startups, investors, domains, and funding relationships.

The project demonstrated that media becomes much more powerful when it is modeled as relationships instead of only articles and search keywords.

  • Neo4j
  • Cypher
  • Java
  • JavaScript
  • Entity resolution
View case study
Student Marketplace and Campus Product Startup / Product

Webloom Solutions

A campus delivery venture built for students, shaped by hyperlocal behavior, fast restaurant onboarding, and early founder-style experimentation.

This was the first time I saw that a marketplace product is really a chain of operational commitments: order state, menu versioning, support paths, and local density all matter as much as interface quality.

  • Mobile app
  • Backend APIs
  • Marketplace flows
  • Status workflows
  • Campus operations
View case study
FinTech Infrastructure FinTech

VCN Platform

Virtual card infrastructure for controlled spend, partner integration, and reconciliation-aware operations.

Virtual card infrastructure looks simple at the UI layer, but the actual product is a correctness-sensitive state machine. The important work is not only issuance. It is maintaining trustworthy card state as webhooks arrive out of order, retries happen, transactions settle later, and finance or operations teams need answers quickly.

  • FastAPI
  • Python
  • SQLAlchemy
  • PostgreSQL
  • Webhooks
View case study
Trust, Fraud, and Risk Intelligence Trust & Safety

Merchant Vetting Intelligence

A trust and safety workflow that combines policy signals, merchant classification, shoppability checks, pricing signals, and review-friendly decision support.

Merchant vetting is not just analytics. It is a high-friction decision workflow where product design, signal quality, evidence quality, and operational clarity all affect trust outcomes.

  • Python
  • SQL
  • Analytics
  • Trust & Safety
  • Workflow Design
View case study
ML Ops and Workflow Automation ML / AI

Auto Rating ML Workflow

An applied ML pipeline for media classification, QA automation, policy-mismatch detection, and structured downstream review routing.

The value of operational ML systems usually comes from the workflow around the model. File handling, metadata hygiene, event orchestration, confidence thresholds, review routing, and reporting determine whether the system actually reduces manual effort.

  • GCP
  • Pub/Sub
  • Cloud Functions
  • Python
  • Cloud Storage
View case study