Machine Learning & AI Engineer
Dhaka, Bangladesh
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AHAMMAD NAFIZ
I build retrieval systems and LLM agents that hold up outside a notebook.
I'm an engineer on DeepDive at Markopolo AI, working across the TypeScript monorepo and the Python scraping and annotation pipeline under it. Before that I owned the eval service at AskTuring.ai, building the retrieval and benchmarks for a production RAG system. Most of my reading still goes to mechanistic interpretability.
Open to ML / AI roles & research collaborations
- Now
- Associate Product Engineer, Markopolo AI
- Before
- Jr. Software Engineer, AskTuring.ai
- Focus
- RAG · LLM Agents · Interpretability
- Goal
- PhD in Europe, then a frontier lab
About
I'm a data science student at UIU and an ML engineer. Right now I work on DeepDive at Markopolo AI. Before that, at AskTuring.ai, I owned the evaluation service and built Deepen Answer, a RAG pipeline that pairs extended-thinking models with an agent that fills its own knowledge gaps.
I tend to learn things by rebuilding them. An autograd engine in NumPy. A memory layer for agents that cuts the context you send by 17× without giving up accuracy. A research agent that plans, searches, and cites its sources. Lately I keep drifting toward interpretability, trying to work out what these models are actually doing inside.
Next I want a PhD in Europe, and after that a lab working on the frontier.
[ Experience ]
Markopolo AI
Aug 2026 — PresentAssociate Product Engineer, DeepDive
Building full-stack features for DeepDive, an AI social listening and narrative intelligence platform, across a TypeScript monorepo and the Python scraping and LLM annotation pipeline that feeds it.
AskTuring.ai
Sep 2025 — May 2026Jr. Software Engineer (former)
Owned the eval service and admin dashboard, automating RAG benchmarks over HotpotQA, MuSiQue, FinQA, and CUAD. Built Deepen Answer: extended-thinking LLMs, an agent that fills its own knowledge gaps, and hybrid BM25 + vector retrieval with RRF.
United International University
Dec 2025 — Feb 2026Research Assistant
Researched autonomous agents and multi-agent systems, and contributed to papers on LLM applications, retrieval, and agentic workflow design.
B.Sc. in Data Science — UIU
2023 — Present[ Recognition ]
Oct 2025
Champion — IC6 University Innovation Hub
BDT 60,000 pre-seed after a 15-week program.
Jan 2025
Best Prototype — Blockchain Olympiad
Team Auctra, UIU CSE Fest. BDT 20,000 prize.
Jun 2024
Champion — CSE Project Show (Predicta)
End-to-end data analysis & ML platform.
2024
1st Runner-Up — Data Innovators Challenge
Sales analytics track.
Skills
- Languages
- PythonC++SQLBashCUDA
- ML / DL
- PyTorchscikit-learnXGBoostCatBoostNumPyPandasOpenCVMatplotlib
- LLM & GenAI
- LangChainLlamaIndexLangGraphHF TransformersCrewAIAutoGenvLLMOpenAI APIAnthropic API
- Agent Stack
- ReActTool UseFunction CallingMulti-AgentSupervisor / SwarmAgent MemoryLLM Evaluation
- Retrieval
- Retrieval-Augmented GenerationHybrid SearchBM25Vector SearchReciprocal Rank FusionGraph Traversal
- Fine-tuning
- LoRAQLoRAPEFTSFTRLHFInstruction Tuning
- Inference
- vLLMONNXTensorRTBentoMLTorchServeQuantization
- Backend / MLOps
- FastAPIDockerKubernetesMLflowW&BDVCGitHub Actions
- Databases
- PostgreSQLpgvectorMySQLChromaFAISSPineconeWeaviate
Domains — RAG · LLM Evaluation · AI Agents · NLP · Computer Vision · MLOps · Mechanistic Interpretability
Work
- 01
fizzlabai
Deep Research Agent
A solo deep-research agent running a deterministic 8-phase pipeline (plan, search, read, synth, verify, re-plan, polish, close) over the open web, producing cited Markdown with a full execution trace.
LangGraphFastAPIpgvectorOTel
- 02
Engram
Persistent Memory for AI Agents
A memory library on PostgreSQL + pgvector combining hybrid search (BM25 + vector + RRF), graph traversal, and durable task ledgers. 90.8% on LongMemEval-S, 94.1% on LoCoMo-10, 79.7% on BEAM 1M — with 17× less context on BEAM and no LLM calls at ingest.
pgvectorHybrid SearchAgent Memory
- 03
Personal Knowledge Assistant
Multi-Agent RAG System
A multi-agent RAG system with confidence-based routing, knowledge-strip decomposition, and automatic web-search fallback for low-confidence queries.
Multi-AgentRAGRouting
- 04
Analyzia
AI-Powered CSV Analysis
A LangChain agent that turns plain-English questions over CSV data into pandas analysis and Plotly visualizations, with confidence-scored answers and conversation memory.
LangChainAgentsPlotly
- 05
SmartPrice Intelligence
Smartphone Market Analytics
Scraped 10,000+ listings across 37 brands from GSMArena under adaptive rate limiting, then trained CatBoost / XGBoost on 50+ engineered spec features (R² = 0.772, 74.4% price-segment accuracy).
CatBoostXGBoostScraping
- 06
FizTorch
Deep Learning Framework
A NumPy-based deep-learning framework from scratch: autograd engine, core layers, and an Adam optimizer, validated on MNIST and California Housing.
NumPyAutogradFrom Scratch
Contact
If you're hiring for ML or AI work, want to talk research, or just have a good problem worth nerding out over, my inbox is open.
ahammadnafiz86@gmail.com