Sudeshhna Behera

AI automation engineer · Delhi NCR

Portfolio / 2026

Useful automation.No magic tricks.

I'm Sudeshhna — an AI automation engineer and full-stack developer. I turn repetitive work into reliable tools, with humans still in the loop when judgment matters.

See selected work Résumé
AI systems
Full-stack
Quant research

The work is easier to explain in outcomes.

60%

less manual turnaround

Automation at Human Reveal AI
15+

team-hours saved every week

Estimated recurring impact
40%

more workflow throughput

With validation and fallback controls

Selected work

Built to be used,
not just shown.

Two products where the details live below the surface: access rules, data models, API behavior, and the odd edge case.

01 / FINTECH2026

FinLens

Expense clarity, built end to end.

A full-stack expense platform for tracking, settlements, and controlled access. PostgreSQL tuning cut API response time by 30%, while an ML layer flags unusual spending patterns.

  • Next.js
  • Node.js
  • PostgreSQL
  • ML
Live product Source
500+

transactions supported

February overview•••
₹24,860

Net position

Unusual spend foundReview
02 / LOCATION2026

Smart Nearby

Four moods. One useful place.

A geolocation recommender that ranks places by proximity, rating, availability, and price — then keeps map markers and filtered results perfectly in step.

  • React
  • Maps API
  • Places API
  • Custom hooks
Explore source
Work
Date
Quick bite
Budget
Best match · 1.2 kmThird Wave Coffee

4.8 ★ · Open now · ₹₹

Now

Building the parts
between prompt and production.

2026 — present

AI Automation Engineer Intern

Human Reveal AI

  1. 01

    Orchestrating LLM workflows with n8n, LangChain, LangGraph, APIs, webhooks, and databases.

  2. 02

    Building the React/Next.js interfaces and Node services around those workflows.

  3. 03

    Adding structured output, logging, retries, fallbacks, and approval steps before anything consequential ships.

WorldQuant · 2026

#2

in India

First runner-up among 16,000 participants nationwide, in a global field of 45,000.

WorldQuant Gold LevelIOQM qualifierICPC participant

About

Equal parts builder
and problem solver.

I'm studying Computer Science and Artificial Intelligence at Newton School of Technology, Rishihood University. I like problems that need both mathematical discipline and a product people can actually use.

Degree
B.Tech, CS & Artificial Intelligence
Current CGPA
8.35 / 10.0
Based in
Delhi NCR, India
PythonJavaScriptNext.jsReactNode.jsPostgreSQLLangChainLangGraphn8nSQLC++scikit-learnREST APIsHuman-in-the-loop

One good message is enough.

Let's make the
repetitive part disappear.