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AsaifAli/README.md

Asaif Ali

AI/ML Engineer | Generative AI | Agentic AI | RAG | LLM Systems

I build production-oriented AI systems that combine LLMs, agentic workflows, retrieval, deterministic controls, evaluation, observability, and cloud deployment.

My engineering focus is moving beyond prompt → response toward systems that are reliable, testable, evidence-grounded, observable, and deployable.

Featured projects

1. LegacyLens — Agentic Software Modernization

Multi-language legacy-code modernization platform combining program analysis, dependency intelligence, retrieval, migration planning, agentic transformation, and post-migration QA.

  • AST / CTags analysis and dependency intelligence
  • Qdrant-backed knowledge storage and retrieval
  • Migration planning and context-grounded conversion
  • Language-agnostic execution and validation adapters
  • Post-migration quality gates and risk reporting
  • FastAPI + Streamlit + Docker + Render Blueprint

Live demo: https://ai-code-modernization-ui.onrender.com

Repository: https://github.com/AsaifAli/AI-Code-Modernization-Platform

2. FlowPilot — Agentic Automation Platform

Production-minded AI automation control plane built around asynchronous workflows, approval boundaries, evidence, persistence, scheduling, and observability.

  • LangGraph orchestration
  • FastAPI control plane
  • Redis/RQ async execution
  • PostgreSQL run and audit persistence
  • Human-in-the-loop approval
  • Prometheus, Grafana, OpenTelemetry, and Jaeger
  • Render Blueprint deployment

Live demo: https://ai-automation-ui-ac2c.onrender.com

Repository: https://github.com/AsaifAli/AI-Automation-Command-Center

3. EvidenceFlow — Verified RAG & Research

LangGraph research and document intelligence system designed around a fail-closed evidence model.

  • Agentic routing across knowledge base, web research, both, or direct response
  • Qdrant hybrid dense/sparse retrieval
  • RRF fusion and hosted Jina reranking
  • Persistent conversation state
  • Evidence registry and citation verification
  • Numeric/date evidence checks and evidence-conflict detection

Live demo: https://langgraph-rag-hdkn.onrender.com

Repository: https://github.com/AsaifAli/LangGraph-RAG

4. QuoteSense — Procurement Intelligence

AI-powered quotation analysis system that combines LLM extraction with deterministic validation and scoring.

  • PDF / DOCX / TXT / XLSX ingestion
  • Structured extraction and schema validation
  • Deterministic procurement scoring
  • Completeness and risk checks
  • Evidence traceability
  • FastAPI + Streamlit + Docker

Live demo: https://quotation-analyzer-9m4i.onrender.com

Repository: https://github.com/AsaifAli/quotation-analyzer

5. WebQA Intelligence — AI-Assisted Testing

Playwright-based web application QA intelligence platform for dynamic-site crawling, structured DOM analysis, QA risk assessment, test-plan generation, and regression detection.

  • Same-domain browser crawling
  • Authentication support
  • Structured DOM and interaction analysis
  • Evidence-grounded QA generation
  • Browser health and regression signals
  • Safe-by-default interaction model

Live demo: https://web-crawler-agent.onrender.com

Repository: https://github.com/AsaifAli/web-crawler-agent

Shared Portfolio LLM Gateway

The five interactive projects use a shared OpenAI-compatible gateway for BYOK sessions.

Portfolio
   ↓
Redis-backed session
   ↓
Short-lived JWT
   ↓
Project
   ↓
Portfolio LLM Gateway
   ↓
User's selected provider/model

Provider credentials remain server-side; projects receive a temporary session token rather than the provider API key.

Repository: https://github.com/AsaifAli/shared-Portfolio-LLM-Gateway

Engineering principles

Unstructured Data
      ↓
Processing / Retrieval
      ↓
LLM / Agents
      ↓
Structured Validation
      ↓
Deterministic Logic
      ↓
Evidence / Quality Gates
      ↓
Evaluation / Observability
      ↓
API / Application
      ↓
Containerized Deployment

Across projects I emphasize:

  • Structured LLM outputs and schema validation
  • Evidence-grounded generation and citation verification
  • Deterministic business rules and quality gates
  • Human-in-the-loop controls for external-impact actions
  • Automated evaluation and regression testing
  • Health/readiness checks and observability
  • Dockerized, cloud-deployable services

Connect

LinkedIn: https://www.linkedin.com/in/sk-asaif-ali-134873243/

Portfolio: https://asaifali-portfolio.vercel.app

GitHub: https://github.com/AsaifAli

Current focus

Generative AI · Agentic AI · RAG · LLM Systems · AI Reliability · AI Automation · Document Intelligence · Software Modernization · AI-Assisted QA

Pinned Loading

  1. AI-Code-Modernization-Platform AI-Code-Modernization-Platform Public

    Agentic legacy-code modernization platform using program analysis, RAG, migration planning, context-grounded code transformation, and post-migration QA.

    Python

  2. AI-Automation-Command-Center AI-Automation-Command-Center Public

    Production-minded AI automation platform for orchestrated workflows, validation, approvals, persistence, and observability.

    Python

  3. LangGraph-RAG LangGraph-RAG Public

    Evidence-grounded RAG platform combining hybrid retrieval, reranking, citation verification, and fail-closed answer generation.

    Python

  4. quotation-analyzer quotation-analyzer Public

    AI procurement intelligence platform for structured quotation extraction, deterministic scoring, risk detection, anomaly analysis, and evidence-grounded review.

    Python

  5. web-crawler-agent web-crawler-agent Public

    AI-powered web QA intelligence platform using Playwright for dynamic-site analysis, risk assessment, evidence-grounded test generation, and regression detection.

    Python

  6. shared-Portfolio-LLM-Gateway shared-Portfolio-LLM-Gateway Public

    Shared OpenAI-compatible LLM gateway providing secure request-scoped BYOK sessions, Redis-backed credentials, JWT handoff, and provider abstraction for portfolio AI applications.

    Python