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Living system · 2026Forward Deployed AI Engineer Intern

SOMANADHK

FORWARD DEPLOYED AI ENGINEER INTERN

I build systems that think — and the infrastructure that keeps them honest.

I'm a Computer Science student and AI engineering intern focused on developing intelligent applications, backend systems, AI agents, and retrieval-augmented generation solutions. I enjoy exploring how AI can solve practical problems and turning ideas into working software.

EXPLORE MY WORK
DOWNLOAD RÉSUMÉ
measuring signal
Stack Python · FastAPIFocus Agents + RAG
Portrait of Somanadh K wearing glasses and a blue shirt.

Somanadh K

Human in the loop

Frame 01

SCROLL TO DECODE
FORWARD DEPLOYED AI ENGINEER INTERNBACKEND ENGINEERINGAGENTIC AIRETRIEVAL-AUGMENTED GENERATIONPYTHONFASTAPISYSTEMS THAT THINKVERIFIED, NOT INVENTED
Somanadh K — FORWARD DEPLOYED AI ENGINEER INTERN, AI/ML & BACKEND DEVELOPER, AI AGENT ORCHESTRATION, RAG SYSTEMS BUILDER, AI ENGINEERING ENTHUSIAST
01 / BThe human

The human
behind the
intelligence.

The part of the system that is not a system. Not a personal brand exercise — a working record of how I think, what I have actually done, and where I am going next.

I am a Computer Science and Engineering student who works at the meeting point of language models and the systems around them. My interest is less in the demo and more in the distance between a demo and something a person can actually use: the API behind it, the retrieval that grounds it, the agent loop that has to fail gracefully.

As a Forward Deployed AI Engineer Intern, I worked on AI-powered applications, intelligent workflows, backend integrations, and LLM-driven solutions. Before that, I spent a semester as a Web Development Intern, which is where the product instinct started.

I am early in my career and deliberate about saying so. What I have is curiosity, hands-on internship experience, and a growing body of work in agentic AI, retrieval, and backend engineering. What I do not have is a decade of production war stories, and I would rather show you the real thing.

Current status

B.Tech Computer Science & Engineering student

Forward Deployed AI Engineer Intern

Leadership

Chair — Society on Social Implications of Technology

IEEE Vardhaman Student Branch

Education

B.Tech · Computer Science and Engineering

Institution details not published on this site yet.

Availability

Open to AI engineering, backend, and forward-deployed engineering conversations.

Artificial IntelligenceGenerative AILarge Language ModelsRetrieval-Augmented GenerationAgentic AIMulti-agent SystemsBackend EngineeringFastAPIPythonSQL

Interpretation layer

Read me as…

Verified local synthesis

Somanadh K is a Computer Science student and AI engineering intern focused on intelligent applications, backend systems, AI agents, and retrieval-augmented generation. He has worked as a Forward Deployed AI Engineer Intern at SooperVision (2026), on AI-powered applications, intelligent workflows, and backend integrations. He builds with Python, FastAPI, and SQL, and this site is both his portfolio and a working example of the systems he likes to build. Open to AI engineering, backend, and forward-deployed engineering conversations.

Generated from the same verified records as the assistant. The model may phrase things differently; it is not given permission to invent.

02Selected work

The project universe.

A spatial index, not a card grid. Three records exist today; one is fully documented. The rest are held back until the facts are verified — no invented functionality, no decorative metrics.

03

Records

01

Verified

Spatial index / list mode

01

StudentOS

AI Product · awaiting verification

Functionality and outcomes are not published yet.

02

QEMS

Systems · awaiting verification

Functionality and outcomes are not published yet.

03

SOMANADH.OS

AI Platform · verified

This website: a cinematic Next.js portfolio with a grounded AI assistant, a FastAPI backend, privacy-conscious visitor analytics, and a private content studio.

TypeScriptNext.jsReactThree.js

Verification standard: a project is marked verified only when its functionality, stack, and links have been checked by Somanadh. StudentOS and QEMS are listed because they exist; their details are intentionally unpublished.

03The engineering mind

A constellation, not a scoreboard.

No percentages, no invented proficiency levels. Four working areas, expanded into the technologies and concepts I can actually speak to — with the evidence attached.

Hover a node
read the record
no proficiency theatre

AI / ML Engineering

LLMs

concept · verified association

What it is

Large language models used as reasoning and generation components inside an application.

How I use it

Applied while developing LLM-driven solutions during a Forward Deployed AI Engineering internship.

Evidence

SOMANADH.OS

Expand the area

01AI / ML Engineering5 nodes

Working with language models as components of real applications, not as novelties.

02Backend Development5 nodes

The unglamorous layer that makes an intelligent feature dependable.

03AI Agent Orchestration5 nodes

Coordinating models, tools, and state so a task completes without a human holding every step.

04Retrieval-Augmented Generation4 nodes

Making a model answer from evidence instead of vibes.

AI / ML Engineering / LLMs

Large language models used as reasoning and generation components inside an application.

Applied while developing LLM-driven solutions during a Forward Deployed AI Engineering internship.

ToolkitPythonFastAPISQLREST APIsOpenRouterOpenCodeLLM APIsPrompt DesignStructured Retrieval
04Trajectory

The engineering timeline.

Two internships and a leadership role, presented with the dates and responsibilities I can verify. No invented outcomes, no inflated titles.

02

Internships

01

Leadership

May 2026 — Aug 2026Internship

Forward Deployed AI Engineer Intern

SooperVision

Forward-deployed work on AI-powered applications, intelligent workflows, and backend integrations.

  • Developing AI-powered applications.
  • Building intelligent workflows.
  • Implementing backend integrations.
  • Working with APIs and automation systems.
  • Developing LLM-driven solutions.
  • Contributing to full-stack AI applications.
PythonFastAPILLM APIsREST APIs

Technology tags reflect tools verified elsewhere in this profile; deliverables and outcomes are intentionally not claimed.

Jan 2026 — May 2026Internship

Web Development Intern

SooperVision

Earlier web development internship at SooperVision.

Detailed responsibilities for this role have not been published yet.

Jul 2026 — PresentLeadershipPresent

Chair — Society on Social Implications of Technology

IEEE Vardhaman Student Branch

Leading the student chapter's Society on Social Implications of Technology.

Chapter programmes and outcomes will be added once verified.

More records will be added as they are verified

05Human layer

Beyond the code.

The part of the system that is not a system.

No invented hobbies.
No borrowed personality.
Just the operating system.

I am drawn to problems that sit awkwardly between disciplines — where the model is only half the answer and the other half is a schema, a permission boundary, or a sentence a user actually understands.

The way I work is simple: read the requirement twice, build the smallest honest version, then make it survive contact with a real person. I would rather ship a narrow feature that holds than a wide one that only demos well.

Leading the IEEE Society on Social Implications of Technology chapter has sharpened a question I keep returning to: intelligence is not the hard part to justify — consequences are. That shapes how I want to build.

01

Curiosity, operationalised

New model, new framework, new failure mode — I learn by rebuilding the thing until the mental model holds.

02

Product before polish

A feature earns its animation only after it earns its place in the workflow.

03

Honest engineering

No invented metrics. No borrowed seniority. Clear about what works, clearer about what does not yet.

04

Systems thinking

Every model call has a cost, a latency budget, and a failure path. Design all three.

“Intelligence is not the hard part to justify — consequences are.”

Working note · IEEE SSIT chapter

Neural explorer

Procedural · not data

live simulation

A small interactive system, included because visualisations should be manipulable. The numbers on the admin dashboard are measured; this is not one of them.

Build log

Learning in public

4 entries

  1. First engineering role

    Joined SooperVision as a Web Development Intern.

  2. From web to intelligent systems

    Moved into a Forward Deployed AI Engineer internship: AI-powered applications, intelligent workflows, and backend integrations.

  3. Chair, IEEE SSIT

    Began leading the Society on Social Implications of Technology at the IEEE Vardhaman Student Branch.

  4. SOMANADH.OS built

    Built this portfolio end to end: cinematic frontend, grounded AI assistant, privacy-conscious analytics, and a private content studio. Local verification is complete; public deployment is pending.

Derived only from verified dates in this profile. Personal stories and interests can be added through the private studio.

06Open channel

Let's build something intelligent.

A role, a hard problem, or a system that needs grounding — I read everything that arrives. The assistant can answer the obvious questions first.

Direct line

skollavajjala@gmail.com

Open to AI engineering, backend, and forward-deployed engineering conversations.

LinkedIn/in/somanadh-kEarlier portfoliosomanadh-k.github.ioRésuméOne-page PDF · verified content

System state

Service CHECKINGAssistant —

Status is fetched from the live API. If it reads “static mode”, the portfolio content is still fully available — only the assistant and analytics go offline.

Direct transmission

Server-validated · rate limited

Used only to reply. Stored privately; never sold or published. See the privacy note.