Senior backend, platform, and product engineering across trust, payments, and data systems.
Seattle, WA · 9+ years building backend and platform systems
Abhishek
Bhatnagar
Senior Backend & Platform Engineer | Product Engineering · Data Systems · Reliability
I build backend services, data-intensive products, and platform layers that make complex workflows feel clear, fast, and dependable.
9+ years across Google, BlackRock, and data-heavy product platforms.
Context signals
Built backend platforms and data systems across trust, payments, and financial domains.
Designed APIs, event timelines, ETL workflows, and product surfaces that make cross-system behavior easier to understand.
Comfortable in Python and SQL, with both batch and streaming patterns across modern data stacks.
Strong product partner across engineering, product, data science, and analytics teams in ambiguous environments.
Selected outcomes
Work across platforms, reliability, and data systems
monthly transactions on a financial platform
reduction in manual reporting effort
faster deployment loops and data throughput gains
reconciliation accuracy on automated workflows
Strength areas
Where I’m strongest
Backend Systems and APIs
Service design, domain modeling, and interface choices that keep complex product behavior understandable and dependable as systems grow.
Data Platforms and Pipelines
Real-time ingestion, ETL orchestration, and data quality thinking that stays legible as domains, stakeholders, and reporting needs grow.
Payments and Reliability
Partner-integrated transaction systems, monitoring, and reconciliation-aware design built for durable product behavior rather than fragile happy paths.
Product Engineering
Translate ambiguous user or business pain into product surfaces, system constraints, and delivery plans that technical and non-technical partners can align around.
AI-Assisted Product Workflows
Design systems where retrieval, source fidelity, and output structure matter as much as model quality, especially when the result feeds a real product surface.
Portfolio
Side-projects and case studies
A mix of side-projects and deeper case studies that show product instinct, backend depth, systems thinking, and the tradeoffs behind real software.
Data Products and Public Signals
Historical context
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.
A good macro tool should help users reason about patterns without drifting into investment advice or fake certainty. The useful product work is in freshness, derivation, comparison logic, and narrative discipline.
- FastAPI
- Python
- Pandas
- Plotly
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.
B2B Marketplace and Product Platform
Trust before conversion
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.
In a B2B marketplace, supply discovery alone is not enough. The strongest product turns real-world constraints into structured product inputs so ranking, filtering, inquiry, and follow-up all become more trustworthy.
- FastAPI
- Python
- Postgres
- Supabase Auth
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.
Media Intelligence and Summarization
Signal over noise
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.
A good fan-intelligence product has to compress information without blending factual reporting and speculative commentary into the same thing. The real product work is in source quality, clustering, recency, and editorial boundaries.
- FastAPI
- Python
- Postgres
- RSS ingestion
Combines ingestion, source attribution, topic clustering, summarization workflows, and editorial guardrails to turn fast-moving F1 information into a usable product surface.
Experience snapshot
Recent roles
Sr. Software Engineer
June 2023 - PresentGoogle (Merchant Product - Trust & Safety, via TelusAI)
Building backend and data products for merchant trust systems where platform reliability, signal quality, and product velocity all matter at once.
Sr. Software Engineer
Jan 2020 - May 2022BlackRock, Inc. (Post Trade & Accounting)
Built cloud-oriented data and reconciliation platforms for post-trade accounting in a high-scale finance environment.
Software Engineer
Aug 2017 - Dec 2019BlackRock, Inc. (Fund Accounting)
Focused on financial data workflows, system performance, and correctness for accounting products with tight operational dependencies.
Writing
Essays and systems notes
Why AI Copilots in Risk Systems Need Evidence, Not Just Answers
In high-stakes review systems, a fast answer is not enough. Useful AI copilots need evidence, provenance, and a clear path for users to inspect how a conclusion was formed.
- AI
- Risk systems
- Evidence
Coffee Atlas: Designing a Coffee Product That Teaches Before It Sells
Coffee Atlas is a product idea for turning fragmented coffee knowledge into a structured learning system with recommendation logic, content reuse, and a calmer on-ramp for beginners.
- Coffee
- Consumer products
- Content systems
What a Social Layer for Spotify Could Actually Look Like
Spotify already has graph structure, identity, listening events, and collaborative artifacts. A real social layer would not be a feed clone. It would turn listening behavior into lightweight shared experiences, ranking systems, and better discovery loops.
- Consumer products
- Social systems
- Product engineering
Contact
Open to senior backend, platform, and product engineering roles
I’m most interested in roles where system design, product judgment, and engineering quality all shape the user experience.
Outside work
