01
About Biswajit
AI/ML Engineer building production LLM systems at a product-based AI startup since 2024. I design and ship multi-agent orchestration with LangGraph, RAG and GraphRAG retrieval pipelines, and the FastAPI backends that serve them, with LLMOps practices for evaluation, observability and reliable deployment. I focus on taking agentic and retrieval systems from prototype to production: grounding answers in enterprise knowledge, structuring agent workflows so they are debuggable, and keeping latency and cost in check. B.Tech in Computer Science.
Professional profile
- Location
- Hyderabad, India
- Time zone
- Asia/Calcutta
- Work mode
- Remote, Hybrid, On-site
- Availability
- Available for Permanent Roles
- AI experience
- 2+ years
- Industry experience
- 2+ years
- Languages
- English
- Working hours
- 10:00–19:00 IST, Mon–Fri
- Typical response
- Within 24 hours
- Preferred engagement
- Large (business-unit programmes)
- Available in
- India
02
Proven on the network
Implementation records and publicly available work, where published.
0 AI Deployments delivered. No publicly identified implementations are available to inspect.
03
What Biswajit builds
Implementation domains listed on this profile. Evidence-supported items are identified separately below.
Specialisations
Agentic Workflow Automation
AI Agents
AI Operations (MLOps & LLMOps)
Multi-Agent Systems
RAG & Knowledge Retrieval
04
AI Deployments
Real AI implementations demonstrated through evidence.
No publicly identified Deployments are available to inspect.
05
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
- Agentic Workflow Automation
- AI Agents
- AI Operations (MLOps & LLMOps)
- Multi-Agent Systems
- RAG & Knowledge Retrieval
06
Technology
Technologies listed by the Builder, distinguished by published evidence.
Evidence-supported
No published evidence linked yet.
Builder declared
- FastAPI
- LangChain
- LangGraph
- Python
07
Industry experience
Published Deployments support the listed counts. Other industries are Builder declared.
Cross-Industry / Horizontal
Builder declared
Software & SaaS
Builder declared
08
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
Professional Certifications
Well credentialedIntroduction to Model Context Protocol
Anthropic
Verified CredentialIssued Apr 2026
Credential ID: vu6ovyntbyuk
Introduction to Agent Skills
Anthropic
Verified CredentialIssued Apr 2026
Credential ID: wq3sx9ji8p8r
Claude Code in Action
Anthropic
Verified CredentialIssued Apr 2026
Credential ID: h2zigsnfw3c3
Building with the Claude API
Anthropic
Verified CredentialIssued Apr 2026
Credential ID: g3vvfqtzemf6
Google Advanced Data Analytics Professional Certificate
Google (via Coursera)
Verified CredentialIssued Nov 2023
Credential ID: FD7D9F3UTZSD
Google Data Analytics Specialization
Google (via Coursera)
Verified CredentialIssued Nov 2023
Credential ID: GENLE8E2YR3J
Introduction to Machine Learning
LearnTube.ai
Verified CredentialIssued Oct 2023
Credential ID: Int23982023721038
Accenture North America - Data Analytics and Visualization Job Simulation
Forage
Verified CredentialIssued Oct 2023
Credential ID: 3mBereimCw8BykW3e
Ready to discuss your AI implementation?
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