Technologist with a background in building and scaling systems across startups and mid-sized teams. I work at the intersection of AI, data infrastructure, and product strategy—especially around GenAI, LLMs, and agent frameworks.

I’ve spent the last few years helping early-stage founders and enterprise teams turn product ideas into real software—particularly in healthtech and data-heavy domains. I’m comfortable navigating between architecture reviews, product roadmaps, and PoC builds.

My current focus: helping teams use generative AI meaningfully—especially where data, process complexity, or regulation is involved. I enjoy working with teams building LLM-powered agents, rethinking ETL flows, or integrating AI into high-stakes environments.

At CRISPAI, I work in the “messy middle” of AI adoption—where ideas, infrastructure, and execution collide.

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Consulting Availability

Sole proprietor, open to 3, 6, or 12-month consulting engagements.

Core Areas:

• Cloud Migrations (AWS/On-Prem to GCP, K8s, Docker, Ray)

• Data Engineering (Databricks, Pydantic, orchestration)

• Healthcare AI (DICOM, HIPAA, encrypted pipelines)

• LLMs/Agents (OpenAI, Claude, DeepSeek, memGPT, vLLM, crewAI)

• Evals (automated QA, safety & performance checks)

• Gemini/Google AI Integration

• ModelOps (Arize, LangSmith, MCPs)

• Load Simulation & Failure Analysis

• Scalable System Design

Extended:

• NVIDIA stack, CUDA, robotics & real-time inference

• EdTech & adaptive learning AI

• Security-first: encryption, key rotation, regulated infra

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I stay current with the GenAI landscape and bring a delivery-driven mindset to technical strategy. Best paired with teams solving hard problems at scale.

Lead a team of data scientists in the R&D projects, and help extract actionable insights. This includes investigations into specific domains of knowledge, both extension of existing machine-learning algorithms to the specific domains as well as the creation of new methods necessary to investigate the domain data.

Guidance on Cloud Based Framework to support Adaptable workloads.

Lead development and deployment efforts for Arcion Cloud.

Lead Architect/Program Liaison for Databricks and Arcion Integration using Partner Connect.

http://arcion.io

http://cloud.arcion.io

Assisted in several POC to use Databricks and SingleStore as target DBs on the AWS cloud platform. Worked closely with the CTO on several projects which involved the front-end, management API and the backend CORE engine.

Build Global Scalable Block Chain using AWS and On-Premise. Launched the first Alpha Version in July 2018. Later worked closely with the CEO and CTO to expand the offering. Finally deployment was a 130 node clusters across all geographies on AWS. Technologies involved Ansible, Cassandra, Docker, LXC, ZFS Servers, Garfana, Prometheus, GO, Scala, Mobile Frameworks for iOS/Android. Help in H/W qualification for Independent Miners, Sharders and Blobbers. Worked with Technology and System Integrators to qualify the servers. Ran several simulations of Load Conditions and Fault Tolerant scenarios for the 0CHAIN blockchain.

Provide services related to Salesforce Integration for Small/Medium Sized Business.