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DhaanishAhamed

Penultimate year B.E. · graduating 2028 · building

I design and ship production-grade distributed systems — microservices, real-time data pipelines, and multi-agent orchestration, built from strong CS fundamentals.

Backend & Distributed Systems EngineerHyderabad, IndiaN 17.3850° · E 78.4867°view work↓
01About

Systems built from first principles.

I'm a CS undergraduate specialising in backend and distributed systems — penultimate year, graduating 2028. My work lives at the infrastructure layer: microservices, real-time data pipelines, multi-agent orchestration, and systems that hold under load.

On the build side: ANVESHA is my multi-agent investigation copilot (8 agents, 10K+ documents, Neo4j + Milvus); the TOR Forensics platform parses 500K+ packets per run on GCP; and the Train Crowd system streams live density to riders at sub-2s latency. At Whimc I ship production full-stack features on an AI-powered B2B SaaS.

I believe strong CS fundamentals — DSA, algorithms, system design — are the foundation everything else is built on. 200+ LeetCode problems is a practice habit, not a certification. I'd rather build something real, watch it break, and fix it.

Also into

DSA & competitive programmingDistributed systems designMulti-agent AI systemsDeveloper tooling & MCPHackathons & rapid prototyping

0.00/10

GPA

0+

LeetCode

2028

Class of

02Experience

Apr 2026 – Jul 2026

Whimc

Current

Software / Full-Stack Developer Intern

Hyderabad

AI-powered B2B SaaS product

  • Built full-stack features across three AI modules (Proposals Inbox, Record Chat, Report Builder), wiring React front-ends to production backend REST services.
  • Refactored the escalation flow's group-assignment logic to support multiple groups per escalation — routing each escalation to all mapped groups and reworking the underlying state model.
  • Integrated Gmail, Outlook, and Google Calendar into the proposal pipeline with OAuth, data sync, and retry logic for failed jobs.

Jul 2025 – Sep 2025

Infosys Springboard

AI Engineering Intern

Remote

Backend + ML for an end-to-end valuation system

  • Designed and deployed backend REST APIs serving real-time price predictions from an XGBoost model (90% accuracy on 3,000+ records), cutting manual estimation time by 90%.

Feb 2025 – May 2025

R.M.K. Idea Lab

Software Engineering Intern

Chennai

Research & applied engineering

  • Built an AI-powered 3D Virtual Try-On System with React Three Fiber and Three.js — interactive in-browser mannequins with real-time garment preview.
03Selected work
● Shipped2025
01

ANVESHA

Multi-Agent Investigation Copilot · Distributed agentic system

Investigators working over large document corpora need to surface leads without manually reading everything. The system must route queries intelligently across agents, explain its answers, and hold every result for human review.

What I built

Orchestrated 8 specialised agents behind a planner that routes investigator queries over MCP tool-calling, returning ranked, explainable leads held for human approval. Indexed 10K+ synthetic documents into a Neo4j knowledge graph + Milvus vector store with full provenance and a per-lead audit trail. (Synthetic, non-sensitive data only.)

My role

Systems architect & backend lead — agent orchestration, knowledge graph, retrieval pipeline.

JavaPythonNeMo Agent ToolkitMCPNeo4jMilvus
TECH STACK
  • › Java
  • › Python
  • › NeMo Agent Toolkit
  • › MCP
  • › Neo4j
  • › Milvus
Multi-Agent Investigation Copilot · Distributed agentic system
specialised agents
0

specialised agents

docs indexed
0K+

docs indexed

per lead
audited

per lead

● Shipped2025
02

TOR Forensics

Automated TOR Traffic Forensics Platform · Distributed systems / GCP

PCAP captures from TOR nodes contain thousands of overlapping network flows. Manual analysis takes hours — the system needs to automatically correlate circuits and reconstruct timelines from raw packet data at scale.

What I built

Architected a Scapy-based parser feeding a flow-correlation engine on GCP that surfaces correlated network circuits from raw PCAP captures, parsing 500K+ packets per run. Containerised jobs on Cloud Run / GKE cut analyst triage from hours to minutes.

My role

Systems designer & backend engineer — parser, correlation engine, GCP deployment.

PythonScapyGoogle Cloud PlatformCloud RunGKE
TECH STACK
  • › Python
  • › Scapy
  • › Google Cloud Platform
  • › Cloud Run
  • › GKE
Automated TOR Traffic Forensics Platform · Distributed systems / GCP
packets/run
0K+

packets/run

analyst triage
hours → mins

analyst triage

● Shipped2025
03

Train Crowd

Smart Train Crowd Detection System · Real-time data processing

Train coaches have no live crowding data — riders can't make informed boarding decisions. The system needs to process camera/sensor input at the edge, aggregate noisy counts into reliable density bands, and push live updates to a rider dashboard.

What I built

Engineered a real-time streaming pipeline with edge inference over camera/sensor input, publishing live per-coach passenger density at sub-2-second latency across 10+ feeds. An ingestion-and-aggregation layer processes 1,200+ frames/min and exposes density bands via REST API.

My role

Backend & systems engineer — streaming pipeline, edge inference, REST API.

PythonWebSocketsComputer Vision
TECH STACK
  • › Python
  • › WebSockets
  • › Computer Vision
Smart Train Crowd Detection System · Real-time data processing
latency
sub-2s

latency

feeds
0+

feeds

frames/min
0+

frames/min

● Shipped2025
04

MCP Server

Security-Hardened MCP Server · Backend / infrastructure

LLM agents calling tools over MCP need hardened, validated endpoints — schema mismatches and unauthenticated calls are a real risk in production agent systems.

What I built

Hardened a Model Context Protocol server exposing 12 authenticated tools to LLM agents, adding schema validation and rate limiting, load-tested to 50+ concurrent agent calls.

My role

Backend engineer & security hardener — protocol implementation, auth, load testing.

TypeScriptPythonMCP SDK
TECH STACK
  • › TypeScript
  • › Python
  • › MCP SDK
Security-Hardened MCP Server · Backend / infrastructure
authenticated tools
0

authenticated tools

concurrent calls
0+

concurrent calls

04Stack

Click any tech to see what I've built with it — and watch the matching projects light up.

Languages

foundations

Distributed Systems & Backend

the engine

CS Foundations

the bedrock

AI & ML

applied ai

Databases & Tools

the workshop

Frontend

the pixels
05The terminal — it's real

Don't take my word for it. Ask the shell.

A working terminal with a real command parser and a virtual filesystem of me. Type, or tap any highlighted command. Try , , or .

dhaanish@portfolio — zsh
06Contact

Education

R.M.K. Engineering College

B.E. Computer Science & Engineering · Sept 2024 – Mar 2028

Coursework: Data Structures & Algorithms, Linear Algebra, Probability & Statistics, Database Management Systems

GPA

0.00/10

LeetCode

0+

graphs · trees · DP

Achievements

  • ›200+ LeetCode problems solved — graphs, trees, dynamic programming.
  • ›Competed in multiple hackathons building system-design and rapid-prototyping projects.

Have something
worth building?

I'm open to internships, backend & systems roles, and the kind of problem that doesn't have a tutorial. Let's talk.

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