Fractional CTO & Engineering Lead building AI/ML, agentic workflows, and quant-grade systems that ship.
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icon Who I Am
- Fractional CTO & Engineering Lead with 6+ years turning AI strategy into production systems and durable engineering practices.
- AI/ML & Agentic AI: RAG, LLM pipelines, and multi-step agent workflows across fintech, telecom, logistics, and enterprise SaaS.
- Full-Stack / Multi-Stack engineering across Python, Go, Rust, and TypeScript - end to end, from architecture to CI/CD and rollout.
- Quant Developer (HFT): low-latency execution + market-data systems that turn signals into reliable trading operations.
"I build the bridge between models and markets: agentic AI that ships, and performance that holds under real constraints."
icon How I Show Up on GitHub
icon What I Deliver
- Production AI/ML systems: scalable RAG, LLM pipelines, and agentic workflows used across multiple countries.
- Reliable automation: turning ambiguous workflows into governed, observable systems with evaluation-ready patterns.
- Team acceleration: mentorship, engineering standards, and high-velocity delivery across platforms.
- 40+ workshops delivered to grow developer capability and ecosystem adoption.
- Production quant engineering: low-latency pipelines, execution logic, and monitoring for trading workflows.
- Research-to-production loop: collaborating with research to validate signals and ship robust execution in production.
icon Idea → Research → Development Loop
Animated Idea Research Development loop
- Idea: capture the signal, constraints, and success criteria
- Research: validate hypotheses, data readiness, and evaluation strategy
- Data & Prototype: build the experiment harness and iterate quickly
- Development: productionize end-to-end AI/agent workflows and automation
- Evaluate: run robust offline + online checks with monitoring and governance
- Deploy: ship with CI/CD, rollout control, and reliability focus
- Feedback: measure outcomes and refine models, prompts, and policies
- Scale: expand across teams, products, and multi-country operations
icon What I'm Building Now
Currently: Manager II -- Lead, Applied ML Engineer at NEXT Ventures (Feb 2026 -- Present)
- Focus: Production LLMs, scalable RAG, agentic AI workflows, and quantitative system design.
- Open for: Fractional CTO engagements, end-to-end AI architecture, agent automation, and performance-focused engineering.
icon How I Build
More tools I use in practice
- Infrastructure & CI/CD: GitHub Actions, GitLab CI/CD, Jenkins, CircleCI, ArgoCD
- AI tooling: Vector stores, RAG frameworks, observability stacks for production AI
icon Code & Coffee
Animated coffee cup with scrolling code
Code powers the system; coffee keeps the cadence. Build, evaluate, deploy, and iterate until it ships cleanly.
icon What I've Shipped
AI-Powered Credibility Assessment (DataCrunch, 2025)
LLMs Agentic AI Explainability
AgentiCredit.aiAgentic AI Credit Evaluation (DataCrunch, 2025)
Multi-step Reasoning Compliance Explainability
AI-Powered Fuel Delivery (Impala Intech, 2024)
AI Route Optimization SAP Integration Mobile Fleet Mgmt
DigimartTelco Developer Ecosystem (hSenid / Grameenphone, 2023--2024)
Telco-Enabled Apps Workshops Ecosystem Growth
icon Talks & Speaking
TEDx Talk by Nayeem Islam
Watch my TEDx talk on engineering, AI, and impact.
- TEDxCOU Speaker: delivered "Empowered for Tomorrow: Your Transition to an AI-Ready Future" on AI transformation and workforce readiness.
- Developer Community Builder: designed and led 40+ technical workshops through the Digimart ecosystem, nurturing talent and enabling startups.
- Technical Writer: ongoing Medium posts on AI/ML, agentic systems, and software engineering (@nomannayeem).
icon Career Highlights
- NEXT Ventures -- Manager II - Lead, Applied ML Engineer (Feb 2026 -- Present): leading production AI/ML + R&D and agentic workflow execution.
- DataCrunch -- Technical Lead (Jan 2025 -- Jan 2026): architected end-to-end AI pipelines for autonomous reasoning and real-time decision-making.
- JB Connect Ltd. -- Lead Software Engineer (Nov 2024 -- Jan 2026): owned full-cycle engineering delivery for enterprise telecom/fintech/e-commerce clients.
- Impala Intech Ltd. -- Project Lead (Oct 2024 -- Jan 2025): directed XPress Fuel launch with mobile, SAP integration, and AI-driven route optimization.
- Blockstak -- Tech Consultant (Aug 2023 -- Dec 2024): built LLM/RAG solutions and provided architectural guidance on inference and product strategy.
- hSenid / Grameenphone -- Project Lead (Aug 2023 -- Oct 2024): expanded the Digimart developer ecosystem and delivered 40+ workshops.
- ADA -- Telco Data & Product Development Specialist (Aug 2021 -- Aug 2023): built SMS automation with analytics-led campaign optimization.
icon How I Lead
Tip
"People over Code" - shipping durable systems by first investing in the humans who build them.
- How I lead: Clear context, honest feedback, and psychological safety so teams can move fast without burning out.
- How we work: Lightweight process, high ownership, and data-informed decisions over ceremony.
- How I support growth: Structured 1:1s, pairing, and tailored growth plans - from junior to staff levels.
- How I partner with stakeholders: Translate AI and platform strategy into roadmaps, trade-offs, and measurable business outcomes.
- How I build community: Designed and led 40+ workshops to grow developer capability and ecosystem adoption.
- Background: Microsoft YoungBangla Intern (2018) | JPMorgan Chase SWE Virtual Experience (2020).
icon Proof & Certifications
89+ Certifications in AI, Cloud & Leadership - click to expand
- icon AI & ML: Scaling AI Models with Mixture of Experts (MOE) -- Design Principles and Real-World Applications
- icon Cloud, DevOps & MLOps: DevOps Foundations | Digital Manufacturing and Design Technology Specialization
- icon Leadership & Delivery: Succeeding as First-Time Tech Manager (PMI), Agile Project Management (Atlassian), Scrum Fundamentals
- icon Full list: See all 89+ certifications on LinkedIn
icon What I Write About
- FineTuning PHI-3 for RAG: Why Small Models Are Best for Production - How to make compact models competitive for real-world RAG systems.
- Complete Guide to System Design: From Single Server to Scalable Architecture - A practical walkthrough of scaling decisions from MVP to high-traffic systems.
- Building AI Agents That Actually Remember: A Developer's Guide to Memory Management in 2025 - Patterns for long-term memory and context in modern agent architectures.