$ cat about.md
# SAAD SHARIF AHMED — AI ENGINEER / PM

I build LLM systems
that survive production.

> AI Transformation Lead @ Think Studio
> Founder @ Aiqarus LLC — agent platform for regulated industries
> Previously: Antler EIR · Agoda · weDevs

> Domains: agentic systems, RAG, LLM training (SFT/QLoRA/SimPO),
>          enterprise compliance (SOC2, HIPAA, EU AI Act).
> 10+ yrs. 4 countries. 45+ shipped.
$ ./bench --metrics

Key metrics

40%
SLA reduction
AI workflow automation at Agoda
verified ✓
85%
AI adoption
Tool adoption within 60 days
verified ✓
~6×
Cost reduction
Smart model routing at Aiqarus
verified ✓
45+
Projects delivered
Across SaaS, travel, agencies
verified ✓
$ ls -lah ./work

Featured work

2025 [AI & Agents]
2025 [AI & Agents]
Auto-Deploying Agent Platform
Next-gen agent platform with proactive task execution, persistent memory, evaluator-as-judge logic, and containerized deployments. Full execution traceability for enterprise environments.
LangGraph OpenAI Docker Python
2025 [AI & Agents]
2025 [AI & Agents]
Enterprise RAG Knowledge System
Production-grade RAG architecture with hybrid search, semantic chunking, and multi-modal retrieval. Integrated with vector databases for enterprise document intelligence.
LangChain ChromaDB FAISS FastAPI
2025 [Automation]
2025 [Automation]
LLM-Powered Workflow Engine
Intelligent automation system for intent detection, ticket classification, and auto-routing. Built at Agoda to streamline partner operations with AI-driven decision making.
GPT-4 n8n Python REST APIs
2025 [Automation]
2025 [Automation]
AI Partner Deck Builder
Autonomous agent that generates customized partner presentation decks using market data, performance metrics, and brand guidelines. Reduced manual deck creation time by
OpenAI Python GCP Slides API
2025 [Product]
2025 [Product]
6-Product SaaS Launch
Led product strategy and GTM for 6 WordPress SaaS products at weDevs. Achieved 6-figure MRR with 6000%+ ROI on paid channels. Built
Product Strategy GTM WordPress SaaS
2025 [AI & Agents]
2025 [AI & Agents]
Multi-Agent Research System
Collaborative AI research system using CrewAI with specialized agents for market analysis, competitive intelligence, and synthesis. Features shared memory and task delegation.
CrewAI LangChain Perplexity Python
$ kaggle competitions list --mine

Competitions and research

$ tree ./skills/

Skills

├─ ai_engineering_agents
  • LLM APIs (OpenAI, Anthropic)
  • Agentic pipelines, tool-calling
  • RAG, vector DBs
  • LangChain / LangGraph / CrewAI
  • MCP, A2A, Google ADK
├─ llm_training_alignment
  • SFT, QLoRA, SimPO/DPO/KTO
  • On-policy data, rejection sampling
  • LLM-as-judge, eval harnesses
  • GGUF, vLLM serving
  • Qwen3, LLaMA
├─ programming_infra
  • Python, TS, SQL, Bash
  • React, Next.js, Tailwind
  • Docker, Vercel, Modal, AWS, GCP
  • FAISS, Chroma, Weaviate
  • CI/CD pipelines
├─ compliance_governance
  • SOC 2, HIPAA, GDPR
  • EU AI Act, DSA
  • Zero Trust, audit trails
  • Human-in-the-loop systems
  • AI governance frameworks
├─ data_analytics
  • SQL, Spark, Scala, HiveQL
  • Metabase, Tableau, Superset
  • GA4, GTM, A/B testing
  • Funnel & cohort analysis
  • Success metric design
├─ ai_transformation
  • Enterprise adoption programs
  • Change mgmt, workflow audits
  • P&L, pricing, GTM
  • C-suite & board reporting
  • Certified ScrumMaster®
$ cat ./credentials.txt

Professional certifications

[SCRUM ALLIANCE]
Certified Scrum Master (CSM)
id: 001260903
$ ls -t ./writing | head -3

From the blog

$ ./chat_with_saad --model=ai_saad@v1

Chat with AI Saad

~/chat · ai_saad@v1 · openai · hf-spaces ● online
# ai_saad@v1 ready. ask me about my work, stack, or the time I broke prod with a bad regex.