AI Deploy Network
BJ

AI Deploy Network / Builder

Biswajit Jena

AI/ML Engineer — Multi-Agent Systems, RAG & LLMOps

IndiaHyderabadSeniorAvailable for Permanent Roles

Published evidence

0 AI Deployments

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
      Community

      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 credentialed
      • Introduction to Model Context Protocol

        Anthropic

        Verified Credential

        Issued Apr 2026

        Credential ID: vu6ovyntbyuk

      • Introduction to Agent Skills

        Anthropic

        Verified Credential

        Issued Apr 2026

        Credential ID: wq3sx9ji8p8r

      • Claude Code in Action

        Anthropic

        Verified Credential

        Issued Apr 2026

        Credential ID: h2zigsnfw3c3

      • Building with the Claude API

        Anthropic

        Verified Credential

        Issued Apr 2026

        Credential ID: g3vvfqtzemf6

      • Google Advanced Data Analytics Professional Certificate

        Google (via Coursera)

        Verified Credential

        Issued Nov 2023

        Credential ID: FD7D9F3UTZSD

      • Google Data Analytics Specialization

        Google (via Coursera)

        Verified Credential

        Issued Nov 2023

        Credential ID: GENLE8E2YR3J

      • Introduction to Machine Learning

        LearnTube.ai

        Verified Credential

        Issued Oct 2023

        Credential ID: Int23982023721038

      • Accenture North America - Data Analytics and Visualization Job Simulation

        Forage

        Verified Credential

        Issued Oct 2023

        Credential ID: 3mBereimCw8BykW3e

      Ready to discuss your AI implementation?

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