Abhishek Choudhary
Abhishek Choudhary (ABC)
Software Engineering in Data

Open to collaborate

I build and stabilize data, distributed systems, and AI infrastructure—fast.

I am Abhishek Choudhary (ABC)—Senior Engineer and Principal Data Engineer. I collaborate hands-on with teams to ship reliable data platforms, distributed systems, and AI infrastructure with clear metrics, modern tooling, and a bias for action. Principal Engineer at Bayer AG (RWD-AI). 17+ years across regulated healthcare, electronics, semiconductor, e-commerce, and antivirus. Polyglot by choice: .NET, Java, Python, Rust—whatever ships the right solution.

Software Engineering in DataSenior Engineer · Principal Data EngineerBuilding Data | Distributed Systems | Infra | AI InfraActive in the Generative AI ecosystemKnown as ABC
Experience
17+ years
Senior Engineer & Principal Data Engineer
Industries
Regulated & scale
Healthcare, electronics, semiconductor, e-commerce, antivirus
Distributed systems
Multi-region
Kafka | Flink | Spark | Airflow
AI Infra
Production
RAG | feature stores | eval pipelines
Advisor
VC & regulated
VC firms & healthcare builds (DhanvantriAI)
Signal
Collaboration availability
Availability
Open to collaborate
Focus
Data & AI infra · distributed systems
Start window
Kick off within days
Current focus
Data & AI infra
Timezone
Global/Remote
Remote availability
Availability
Open to collaborate
I help teams move from slideware to production quickly, without breaking reliability targets.
See how I work
Current roles

What I’m building and advising right now

Hands-on leader across RWD, data platforms, AI infrastructure, and developer platforms.

Principal Engineer, Bayer AG (RWD-AI)

Leading the RWD AI Workbench—connecting internal and external tooling to accelerate real-world data use cases.

Founder · HotTechStack

Platform to host and scale innovative data & AI stacks quickly—experiment and deploy with minimal overhead.

Co-Founder · DhanvantariAI

Healthcare-grade AI solutions with RWD, EMR/EHR integrations, and clinical insight workflows.

Advisor · VC & Startups

Data & AI infrastructure advisor to VC firms and portfolio companies across data, AI, and healthtech.

Open-source contributor

Data engineering, orchestration frameworks, AI infra; multi-cloud (AWS, GCP, Hetzner) and Kubernetes-native.

Builder mindset

Bridge data science, engineering, and business value; polyglot who ships in .NET, Java, Python, Rust.

How I work

Partnering on complex data, systems, and AI infrastructure

Hands-on builder and advisor. I plug into teams to unblock scale, ship AI infra, and deliver POCs that become production.

Complex data problems
  • Architect and stabilize data platforms at TB→PB scale
  • Untangle pipelines, contracts, and observability until they hold
  • Lead-by-doing with your teams to keep shipping
AI infra to production
  • Design retrieval, eval, guardrail, and feedback loops that survive prod
  • GPU, cost, and reliability plans you can defend to leadership
  • Highly regulated builds with healthcare-grade expectations
Fast POCs that stick
  • Hands-on builds in weeks, not quarters
  • Path from prototype to operational runbooks
  • Partner with founders and teams—not a vendor relationship
  • Language-agnostic: .NET, Java, Python, Rust—whatever ships
Focus areas

Where I go deep

data
Data Platforms that scale

Modern warehouses, lakehouses, streaming pipelines, and governance that keep up with your business.

TB → PB scale
systems
Distributed systems

Designing resilient systems for multi-region, high-throughput workloads with sane observability.

99.99% SLOs
infra
Infrastructure & FinOps

Cloud foundations, cost controls, platform engineering, and golden paths teams actually adopt.

Cost ↓ 25–40%
ai
AI Infrastructure

Feature stores, vector search, model orchestration, eval pipelines, and production-grade LLM stacks.

LLM to prod
Generative AI

AI infrastructure without the hype

Signals
Generative AI involvement

Active builder in the GenAI ecosystem—shipping infra for retrieval, evaluations, guardrails, and data pipelines tuned for foundation models that stay within production boundaries.

Community + content

Sharing daily notes and experiments on data, distributed systems, and AI infra. Connect on LinkedIn and GitHub for ongoing builds.

Advisory

Helping founders and leaders de-risk AI roadmaps, staffing, and architecture choices before they commit.

I ship RAG-ready data foundations, eval pipelines, and guardrails that let teams launch safely.
Plan AI infra
What you get
  • → Blueprint for data + AI infra tailored to your roadmap
  • → Eval + monitoring stack to keep models accountable
  • → Cost-aware GPU / cloud strategy
  • → Developer experience that teams adopt
Active in the Generative AI ecosystem—shipping, advising, and sharing what works in production.
Edge

Signals of execution

Rapid alignment

I join at C-level depth, align on metrics, and move teams toward a build plan that sticks.

Systems that hold

Distributed systems, data platforms, and AI infra that survive real traffic with observability to match.

Measurable outcomes

Cost, latency, and reliability improvements you can present to leadership with confidence.

Trusted roles

Advisor to VC firms on data/AI bets. Collaborating with medical institutions on regulated, healthcare-grade systems like DhanvantriAI.

Work in public

Click through the channels where I share builds and thinking

No API keys needed—choose a channel to see my latest work. I post daily on data, distributed systems, infrastructure, and AI infrastructure.

Let's build

Let's build something production-ready.

Share your data, distributed systems, or AI infra challenge. I respond quickly with a path to ship—hands-on, collaborative, and measurable.