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Sajid Ahmed

Software & AI Engineer | Agentic Systems & Full-Stack Apps

I design, build and deploy AI products that people can actually use.

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sajid@portfolio ~

→ ~ whoami

Sajid Ahmed

→ ~ cat education.txt

MSc Computer Science | UEL | Avg 90%

→ ~ ls interests/

▸AI Engineering

▸Agentic Systems

▸Full Stack Development

→ ~ echo $LOCATION

London, UK

→ ~

About Me

Software and AI engineer building practical products with LLMs, multi-agent workflows and modern backends, and shipping every one of them to a live URL.

MSc Computer Science

University of East London, current average 90%

AI Engineering

Multi-agent GenAI on Vertex AI at Skylife Research

Full-Stack Development

React, Node.js, FastAPI, Next.js, PostgreSQL

LLM Applications

LangChain, LangGraph, LlamaIndex, RAG

Data & Analytics

SQL, Tableau and Power BI dashboards

Ships to Production

Docker, GitHub Actions CI/CD, live on my domain

Experience

  1. Jan 2026 – May 2026

    Software Developer Intern

    Royal Perfume House London, UK

    • ▸Built a full-stack e-commerce app (React, Node.js/Express) handling 300 products and 150 orders a month.
    • ▸Optimised database queries and indexing, cutting REST API response time from 800ms to 200ms.
    • ▸Brought product page load time down from 3.2s to 1.4s with lazy loading and leaner asset delivery.
    • ▸Replaced spreadsheet stock management with a secure admin dashboard with role-based access.
  2. Sep 2025 – Nov 2025

    Brand Partnerships Executive

    Viral Fission Mumbai, India

    • ▸Analysed campaign data with SQL and Excel and built Tableau dashboards tracking 12+ KPIs.
    • ▸Automated weekly partner performance reports with scripts, cutting manual processing time by 35%.
  3. Mar 2025 – Jul 2025

    AI Engineering Intern

    Skylife Research Mumbai, India

    • ▸Built a multi-agent GenAI platform on Vertex AI (Gemini, Imagen) that turns financial market data into infographics.
    • ▸Designed a four-agent pipeline with a FastAPI orchestration server and a Figma plugin integration.
    • ▸Cut the time to produce an infographic from 45 minutes of manual design to under 2 minutes.
    • ▸Reduced generation time from ~90s to ~35s with parallel agents and caching, and cost per infographic by 40%.
  4. Jan 2023 – Feb 2024

    Data & Organisation Coordinator

    TEDxKCCollege Mumbai, India

    • ▸Segmented attendee and registration data with SQL to target outreach that drove 48% of ticket sales.
    • ▸Built Power BI dashboards on live campaign performance and audience demographics.

Education

Jan 2026 – Jun 2027

MSc Computer Science with Industrial Placement

University of East London, London

Current average 90% · AI & Machine Vision, Cloud Computing, Advanced Software Engineering, Big Data Analytics

Aug 2022 – Apr 2025

BSc Computer Science

KC College, HSNC University, Mumbai

GPA 3.5 · Machine Learning, SDLC, DevOps, Database Systems

Featured Projects

AI systems I've built and deployed. Each preview shows how it works — the live app is one click away.

Featured

CyberSecAgent

Multi-agent security platform built with LangGraph that triages incidents and matches users to the right security expert through a Neo4j knowledge graph. Tested in CI.

Correctly classified 17 of 20 test incidents

  • LangGraph
  • FastAPI
  • Neo4j
  • PostgreSQL
  • Next.js
View Repository

Live preview

Multi-agent pipelineAnalysing…
Incident
Foundation-Sec
Threat
Expert

THREATExample output

{
  "threat_type": "credential_theft",
  "severity": "HIGH",
  "attack_vector": "phishing",
  "confidence": 0.94
}
  • Incident intake
  • Threat analysis
  • Expert matching
  • Secure handoff
Try the live app
Featured

AI Change Impact Analyzer

Predicts the impact of policy changes using parallel LangGraph agents, with hybrid retrieval over ChromaDB and BM25. Containerised with Docker and deployed through GitHub Actions.

Analysis twice as fast as sequential agent runs

  • LangGraph
  • ChromaDB
  • BM25
  • FastAPI
  • Streamlit
  • Docker
View Repository

Live preview

Policy
Parallel agents
Retrieval
Impact

Reading the policy change…

Running agents in parallel…

Hybrid search: ChromaDB + BM25…

Writing the impact report…

  • Parallel LangGraph agents
  • Hybrid retrieval
  • Docker
  • GitHub Actions CI
Try the live app
Featured

Financial Analysis Agent Crew

A crew of AI agents that combines live Yahoo Finance data with news sentiment and writes it up as a PDF report. Fails over between Mistral, Groq and Gemini when a provider is rate-limited.

A full report in 1 minute instead of 30 by hand

  • Multi-Agent
  • Groq
  • Mistral
  • Gemini
  • Plotly
  • Streamlit
View Repository

Live preview

Market Researcher
Data Analyst
Report Writer

Pulling Yahoo Finance data + news…

Scoring sentiment and metrics…

Writing the PDF report…

Example output

  • Sentiment: Bullish (0.72)
  • P/E ratio: 28.4
  • 52-week high: $189.50
Try the live app
Featured

Multi-Source RAG System

Answers questions across PDFs, CSVs and web pages with cited sources, using LlamaIndex and FAISS, with cross-encoder re-ranking on top.

Re-ranking lifted correct answers from 12 to 16 out of 20

  • LlamaIndex
  • FAISS
  • Cross-encoder
  • Streamlit
  • Python
View Repository

Live preview

1Upload
2Process
3Index
4Query
5Answer

Loading PDFs, CSVs and web pages…

Splitting into chunks…

Creating vector embeddings…

Hybrid search + re-ranking…

Answering with citations…

  • LlamaIndex
  • FAISS index
  • Cross-encoder re-rank
  • Cited answers
Try the live app

Technical Skills

The tools I use to build AI-powered applications and systems.

Core stack

  • Python
  • LangGraph
  • FastAPI
  • Next.js
  • RAG

AI & LLM

  • LangChain
  • LangGraph
  • LlamaIndex
  • RAG
  • Multi-agent systems
  • Vertex AI
  • Gemini
  • OpenAI API

Backend

  • FastAPI
  • SQLAlchemy
  • Node.js
  • Express
  • REST APIs

Frontend

  • React
  • Next.js
  • Tailwind CSS
  • Streamlit

Languages

  • Python
  • TypeScript
  • JavaScript
  • SQL
  • HTML/CSS

Data & Analytics

  • Pandas
  • NumPy
  • Plotly
  • OpenCV
  • Power BI
  • Tableau

Databases

  • PostgreSQL
  • Neo4j
  • ChromaDB
  • FAISS

Cloud & DevOps

  • AWS
  • Docker
  • GitHub Actions
  • Git
  • Pytest

Ways of working

  • CI/CD
  • Testing
  • Agile
  • Shipping to production

Get In Touch

I'm looking for a software or AI engineering placement in London. If you're hiring, have a project, or just want to talk shop, send me a message.

Contact information

Emailsajidahmed6611@gmail.com
LocationLondon, UK

Connect with me