Software Engineering @ DU · Open to AI/SWE roles

I build systems that put on real hardware.

Software Engineering student at the University of Dhaka focused on AI agents, retrieval, and embedded intelligence. I ship multi-agent products, RAG pipelines, and TinyML robotics - practical systems that hold up outside the demo.

About me
Md. Asim Alam Chowdhury
raw inputPixels enter the pipeline - no meaning yet.
01

Selected work

All projects
/01FLAGSHIP

The Eye

2026

Personal Intelligence Dashboard

A multi-agent intelligence dashboard with local document RAG and a runtime context manager.

  • Multi-agent Electron desktop app integrating local document RAG and web intelligence.
  • Hybrid RAG pipeline (semantic + keyword) for context-aware AI responses.
  • Real-time Context Manager that improves agent relevance across research and analysis tasks.
Next.js 16React 19ElectronGeminiIndexedDBTailwind
/02SHIPPED

Voice-Controlled Tracking Robot

2025

Voice-controlled · on-device AI

An ESP32-S3 robot that listens, sees, and chases - fully on-device TinyML, no cloud round-trip.

  • TinyML keyword spotting on ESP32-S3 for real-time voice recognition.
  • FOMO object detection on ESP32-CAM with ultrasonic obstacle avoidance.
  • Finite state machine + PID-controlled navigation for precise movement and stopping.
ESP32-S3ESP32-CAMArduinoTinyMLC/C++PID
/03SHIPPED

MaaSathi AI

2025

Bangla maternal-health companion

A Bangla voice-first maternal-health companion for mothers, CHWs, and families.

  • Led a Bangla voice-first platform across mother, doctor/CHW, and family workflows.
  • Citation-grounded RAG/GraphRAG with HyDE, reranking, and fine-tuned query classification.
  • Rules-first danger-sign triage, ML risk scoring, and human escalation paths.
Next.jsTypeScriptSupabaseRAGGraphRAGLangGraph
02

How I work

01

Multi-Agent

Cooperating agents with planning, tool-use, and clean termination - built into The Eye and MaaSathi AI.

02

Hybrid RAG

Semantic + keyword retrieval with HyDE and reranking. Grounded answers that cite their sources.

03

TinyML

On-device intelligence on ESP32-S3 and ESP32-CAM - keyword spotting and FOMO object detection.

04

Security mindset

Two-time CTF podium. The instincts that keep AI surfaces honest under adversarial input.

Awards from buildfests and CTFs - the work, the proof.

Champion
AI Infinity Buildfest · 2026
3rd Place
Al-Khwarizmi CTF 2026 · 2026
3rd Place
BUET CTF 2026 · 2026
03Capability graph

The systems layer behind the products.

My work connects into one engineering practice - retrieval, agents, on-device intelligence, control, and safety. Hover a node to trace how the pieces relate.

> select_node
Hover or tap a node. Each is a capability I've shipped or am actively building - together they form one engineering practice.
AI SystemsMulti-agentContext MgmtTinyMLEmbedded ControlAlgorithm VizAI SafetyPrompt EngineeringHybrid RAG
04Inference console
simulated trace · grounded in portfolio facts
asim@dhaka - inferenceonline
[t+0.00s]ready - type a query or pick a suggestion below
05

From the blog

All posts
Computer ScienceApr 2025

The Path to Artificial General Intelligence

Exploring the trajectory toward machines that can perform any intellectual task that humans can.

4 min readRead
PhysicsApr 2025

Understanding Quantum Entanglement

Exploring the "spooky action at a distance" that even Einstein found troubling.

4 min readRead
PhilosophyApr 2025

The Hard Problem of Consciousness

Why explaining subjective experience remains one of the biggest challenges in science.

4 min readRead