AI Full Stack Engineer @ A'sTechware

Hi, I'm

Umair Inayat

AI & Backend Full-Stack Engineer

Backend, AI, and GenAI engineer at A'sTechware. I build production LLM systems, RAG pipelines, agentic workflows, and the APIs behind them, alongside computer vision and applied ML research.

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Repositories
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Final GPA
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LinkedIn
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HF Artifacts
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Merit Awards

About Me

Backend Systems With AI at the Core

I'm an AI Full Stack Engineer at A'sTechware, where I build backend systems, APIs, and automation platforms with LLMs and GenAI wired into real business workflows: RAG pipelines, agentic workflows, and vector search behind Node.js and Ruby on Rails services with React on the front.

I graduated from the University of Management and Technology with a BS in Computer Science and a 3.82 CGPA, earning four merit awards including the Dean's and Rector's Awards. My final year project, Radisist, an AI radiology diagnostics platform, placed in the top 10 out of 160 projects. I also spent nearly two years as a Teaching Assistant for Deep Learning and Theory of Automata.

Outside work I ship open source and publish models on Hugging Face, tools like DeepContext (hierarchical memory for AI agents), AgentTrace (multi-agent observability), and Specter AI (privacy-first meeting copilot). I led the AI/ML team at Google Developer Group on Campus UMT and served as a Beta Microsoft Student Ambassador, organizing tech summits across 15 universities.

Backend EngineeringLLMs & GenAIRAG SystemsAgentic WorkflowsComputer VisionNLPDeep LearningExplainable AI
Umair Inayat

Journey

Experience & Education

My professional journey, academic background, and leadership roles

Jul 2026 - Present

AI Full Stack Engineer

A'sTechware

Building AI-powered applications, backend systems, and automation platforms for production use. Designing backends and APIs in Node.js and Ruby on Rails with React on the frontend, and integrating LLMs and GenAI into real business workflows: prompt engineering, RAG pipelines, agentic workflows, and vector databases.

Oct 2025 - Jul 2026

Teaching Assistant

University of Management and Technology

TA for Deep Learning and Theory of Automata. Assisted with labs in Python, PyTorch, and TensorFlow, conducted graded assessments, and gave one-on-one guidance on neural networks and automata design.

Jul 2025 - Sep 2025

AI/ML Intern

Texense

Selected for the Texense Summer Internship Program 2025. Contributed to production-level AI/ML solutions under industry mentorship, focusing on model development, optimization, and deployment.

Mar 2024 - Oct 2025

Teaching Assistant

University of Management and Technology

Assisted in teaching OOP, Data Structures, Database Systems, ML/DL, and Operating Systems. Mentored students in complex programming concepts.

Nov 2023 - Feb 2024

Peer Mentor

University of Management and Technology

Peer tutor for Programming Fundamentals in Fall 2023.

Tech Stack

Technical Skills

Backend, GenAI, and ML technologies I work with daily

AI & GenAI

LLM APIsRAG PipelinesAgentic WorkflowsPrompt EngineeringLangChainLangGraphFine-Tuning (LoRA / QLoRA)SFT & DPOModel QuantizationHugging FaceMCPVector DatabasesQdrant

Backend & APIs

Node.jsRuby on RailsPythonFastAPIDjangoREST APIsPostgreSQLMongoDBRedisCelerySystem DesignAuth & Security

ML & Computer Vision

PyTorchTensorFlowKerasTransformersOpenCVYOLOCLIP / BiomedCLIPSAMBLIP-2Vision TransformersMedical ImagingExplainable AIscikit-learnXGBoostLightGBMCUDA

Frontend & Infra

ReactNext.jsTypeScriptTailwind CSSFlutterDockerONNXWeights & BiasesStreamlitAWSAzureCI/CDGitLinuxC++

Portfolio

Main Projects

The work I would want to be judged on. Each one has its own write-up.

ProductFYP, Top 10 of 160

Radisist: Medical Imaging AI Platform

Final year project. Trained a BiomedCLIP modality router on 14k images reaching 100% test accuracy, plus SMP UNet++ segmentation models hitting 95% accuracy and 88.5% Dice across 7 imaging modalities. Models published to Hugging Face behind a full-stack Django platform with REST endpoints and PostgreSQL-backed patient data pipelines.

PyTorchBiomedCLIPUNet++DjangoPostgreSQL
Read the full write-up
Open SourceZ.ai for Startups

DeepContext

PyPI-published agentic memory library with hierarchical concept graphs, BFS traversal, and hybrid RRF retrieval, with 179 tests, fully async, and adopted by external developers. Ships a FastAPI service and React dashboard.

PythonFastAPIPostgreSQLReactPyPI
Read the full write-up
Product

Specter AI

Open-source, privacy-first AI screen & meeting copilot. Transparent always-on-top overlay invisible to screen share, with real-time OCR and audio transcription.

TypeScriptElectronOCRLLMs
Read the full write-up
Product

VeriAudit

AI-assisted smart contract security platform that detects vulnerabilities, validates exploitability with reproducible PoCs, and writes verifiable audit attestations on-chain bound to the exact audited code.

SolidityLLMsSecurityWeb3
Read the full write-up
Open Source

AgentTrace

Open-source observability platform for multi-agent AI systems. See exactly what your agents are doing: every step, every decision, every cost.

TypeScriptReactNode.jsObservability
Read the full write-up
Product

Sehat Guftagu

LLM-powered bilingual (Urdu/English) clinical web app using LangGraph multi-agent orchestration across 5 modular AI services for patient triage, symptom analysis, and report generation. Structured output parsing and entity extraction with PostgreSQL storage behind a clean FastAPI backend.

FastAPILangGraphLLMsPostgreSQLNext.js
Read the full write-up
ML / DL

Face Match System

Production face recognition SDK combining RetinaFace detection, MagFace embeddings, and Qdrant vector search for fast identity matching at scale.

PythonRetinaFaceMagFaceQdrant
Read the full write-up
Research

XDenseQNet

Explainable quantum-enhanced DenseNet121 for monkeypox skin lesion classification, research combining quantum circuits with deep learning for medical image analysis.

PythonPyTorchQuantum MLDenseNet
Read the full write-up
Backend

Document Intelligence

Scalable RAG pipeline with multi-source document ingestion (PDF, DOCX, HTML, images) and semantic search over vector embeddings, combining dense and sparse hybrid retrieval. Tuned with chunking strategies, re-ranking, and query augmentation, containerized for reproducible ML-ready deployment.

FastAPIRAGPostgreSQLMongoDBDocker
Read the full write-up

Plus 24 more repositories across backend, ML, research, and coursework.

Recognition

Achievements & Certifications

Competition placements, academic awards, and professional certifications

Competitions & Rankings

Top 10

Radisist, Final Year Project

Ranked in the top 10 of 160 FYP projects at UMT for AI radiology diagnostics

2026

3rd

TechnoVerse Comsat ML Competition

66 tree species classification with 118k instances

2025

4th

SofTech 2025 ML Challenge

Hospital readmission prediction at FAST Lahore, national-level, 30 teams

2025

Awards

Dean's Award

Fall 2023

Rector's Award

Fall 2024, 4.0 GPA

Dean's Award

2025

Merit Award

Spring 2025

Certifications

LLMs & MCPs

Hugging Face

Machine Learning Specialization

Andrew Ng / Coursera

Deep Learning Specialization

Coursera

Data Scientist in Python

DataCamp

Microsoft Certified: Azure Data Fundamentals

Microsoft

MLOps Bootcamp

10+ End-to-End ML Projects

Get in Touch

Let's Build Something Together

Open to backend, AI, and GenAI engineering work, research collaborations, and open-source projects. Feel free to reach out!