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About Abhijeet
I’m a hands-on CTO who builds AI that makes everyday life measurably better. My focus is taking LLMs and AI agents from prototype to production: designing the architecture, writing the code, and owning reliability, safety and cost at scale.
I’ve built AI infrastructure for Women Healthcare, which is adopted by Ob-Gyns across the country. I work across the full stack: real-time voice, retrieval, evaluation, guardrails, on-device models and cloud-native deployment
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I build multi-agent and tool-using systems with LangGraph, Google ADK, CrewAI and the OpenAI Agents SDK, I build the layer around the model that makes agents dependable: context engineering, memory, tool-calling schemas, sandboxed code execution, retries and fallbacks, guardrails, and structured outputs.
I serve models with vLLM, SGLang and TensorRT-LLM, and cut latency and cost with quantisation (FP8, AWQ, GPTQ), speculative decoding, KV and prompt caching, continuous batching, model routing and distillation. I run models on GPUs/TPUs and on-device with Gemma via LiteRT.
Professional profile
- Location
- Bangalore, India
- Time zone
- Asia/Calcutta
- Availability
- Available for Permanent Roles
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Proven on the network
Implementation records and publicly available work, where published.
0 AI Deployments delivered. No publicly identified implementations are available to inspect.
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What Abhijeet builds
Implementation domains listed on this profile. Evidence-supported items are identified separately below.
Specialisations
AI Cost Optimisation
AI Governance & Compliance
AI Infrastructure & Platforms
AI Observability
Model Serving & Inference
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AI Deployments
Real AI implementations demonstrated through evidence.
No publicly identified Deployments are available to inspect.
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Implementation capabilities
Evidence-supported means linked to a published Deployment or Case Study; other capabilities are Builder declared.
Evidence-supported
No published evidence linked yet.
Builder declared
- AI Cost Optimisation
- AI Governance & Compliance
- AI Infrastructure & Platforms
- AI Observability
- Model Serving & Inference
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Technology
Technologies listed by the Builder, distinguished by published evidence.
Evidence-supported
No published evidence linked yet.
Builder declared
- LangChain
- SGLang
- vLLM
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Industry experience
Published Deployments support the listed counts. Other industries are Builder declared.
FinTech
Builder declared
Healthcare Providers
Builder declared
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Trust & verification
A closer look at how this profile and its evidence are reviewed.
Community Member
Published evidence is reviewed against the AI Deploy Network Evidence Standard.
How verification works
Verified Builder
Independently reviewed by AI Deploy Labs against the platform Evidence Standard.
How this is verifiedWhat the platform has established, and what remains builder-declared.
- Identity and organisation
- Identity checks confirm that the person presenting this profile controls the account and the professional identifiers attached to it, such as a LinkedIn profile. Organisation membership is confirmed by the organisation, not self-declared by the builder.
- AI Deployments
- An approved AI Deployment is an implementation record the builder submitted and the platform reviewed against the Evidence Standard before publication. Approval confirms the record is complete, coherent and consistent with the supporting material provided — it is not an audit of the client's systems.
- Business outcomes
- Outcome figures are recorded by the builder on the deployment or case study that produced them, and are reviewed at publication. Aggregates shown on this profile are calculated from those approved records only.
- Evidence
- Supporting evidence comes from the records the builder published on this platform: approved AI Deployments, published AI Case Studies, verification outcomes and organisation participation.
- Currency
- Older evidence continues to count and is never removed. Recency is presented separately through Professional Currency so that current expertise can be assessed alongside historical work.
- Traceability
- Every figure on this profile can be followed to the record that produced it. Open the linked AI Deployment or AI Case Study to read the outcome exactly as it was reported.
The platform does not independently audit client systems or financial records. How this is verified
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