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About Nishan
I'm the Founder of **PhiGrad AI**, with 15+ years of software engineering experience and 10+ years specializing in AI and Machine Learning.
I help startups and businesses move AI from experimentation to production by designing, building, and deploying reliable, scalable, and cost-efficient AI solutions.
Read more
My expertise includes **AI Agents, RAG, LLM/SLM Engineering, Document Intelligence, Workflow Automation, and AI Evaluation & Governance**.
I've worked on real-world AI solutions across healthcare, insurance, legal technology, financial services, and enterprise automation, delivering measurable improvements in accuracy, efficiency, and operational costs.
At PhiGrad AI, my focus is simple: **Build AI that works in production.**
🌐 https://phigrad.ai/
Professional profile
- Location
- India
- Time zone
- Asia/Calcutta
- Availability
- Available for Contract Projects
- AI experience
- 10+ years
- Industry experience
- 15+ years
- Languages
- English, Hindi
- Typical response
- Within 24 hours
- Preferred engagement
- Small (individual or single team)
- Available in
- India
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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 Nishan builds
Implementation domains listed on this profile. Evidence-supported items are identified separately below.
Specialisations
Document Intelligence
Fine-Tuning & Model Customisation
Multi-Agent Systems
RAG & Knowledge Retrieval
Speech & Audio AI
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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
- Document Intelligence
- Fine-Tuning & Model Customisation
- Multi-Agent Systems
- RAG & Knowledge Retrieval
- Speech & Audio AI
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Technology
Technologies listed by the Builder, distinguished by published evidence.
Evidence-supported
No published evidence linked yet.
Builder declared
- Agent Skills
- Amazon Bedrock
- LangChain
- LangGraph
- LiteLLM
- MongoDB
- OpenAI Agents SDK
- OpenClaw
- RabbitMQ
- Streamlit
- Vespa
- vLLM
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Industry experience
Published Deployments support the listed counts. Other industries are Builder declared.
FinTech
Builder declared
Insurance
Builder declared
Legal
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
Professional record and further evidence
Client Portfolio
Diverse industry experience
Daxa AI
Agentic AI • Software & SaaS
United States2026Fine-tuned DeBERTa and Qwen 4B models for AI security guardrails, including prompt classification, content safety, and policy enforcement. Optimized model inference using vLLM and quantization for efficient, scalable deployment in production environments.
Heph
Generative AI • Insurance
India2026Helped them with their claim processing pipeline. Were able to improve the accuracy of document intelligence from 60% to 80% and, at the same time, reduce costs by 30%
Civilbolt
AI Strategy • Architecture & Engineering
India2026Guided the development of a document intelligence pipelinee to analyze engineering drawings and automate highway construction bidding workflows, achieving 98% classification accuracy.
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