Looking for a job

Mohammed Azeem

@mohammedazeem1

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I build AI job-matching systems, RAG pipelines, and cloud applications.

India

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What I'm looking for

I'm looking to build production AI and full-stack products where I can apply RAG, agentic workflows, cloud infrastructure, and automation to improve measurable user and business outcomes.

At Knowledge Artisans, I built Jobsify AI's Job Matcher V2, combining vector similarity and verified skill overlap to raise recruiter shortlist and click-through rates from 20–25% to 65–75%.

I automated resume parsing and 50-job batch ranking, reducing processing to 15–25 seconds and recruiter review time per candidate to 1–2 minutes. I also built Firestore, ChromaDB, and Redis-backed systems supporting up to 15,000 daily candidate interactions.

I replace manual delivery processes with repeatable cloud and CI/CD workflows. At Knowledge Artisans, GitHub Actions reduced releases from 45–60 minutes to 2–3 minutes, while AWS training gave me hands-on experience with VPC, EC2, S3, RDS, DMS, IAM, monitoring, and disaster recovery.

I've built Python, Flask, LangChain, and LangGraph applications for supply-chain optimization, medical diagnostics, and stock analysis. I enjoy turning RAG, agentic AI, REST APIs, and database-backed prototypes into practical production features.

Experience

Work history, roles, and key accomplishments

Current

Full Stack & AI Developer

Current

Knowledge Artisans

Jun 2026 - Present (4 months)

Designed and shipped Job Matcher V2, a hybrid scoring engine with vector similarity and skill overlap, lifting recruiter shortlist/click-through rate from ~20–25% to 65–75%. Built automated resume-parsing and job-matching pipelines, and replaced manual deployments with GitHub Actions CI/CD.

Python LangGraph ChromaDB Firestore Redis GitHub Actions CI CD REST APIs AWS GCP Agile Scrum

AWS Cloud Engineer (Trainee)

AWS Services – Hands-on Training Program

Dec 2025 - May 2026 (5 months)

Completed 24 hands-on labs across 8 modules including VPC networking, compute/auto-scaling, S3, RDS/DMS, IAM, monitoring, and disaster recovery. Implemented standardized Launch Templates and validated disaster-recovery designs in failure-simulation labs.

AWS VPC EC2 S3 RDS DMS IAM Cloudwatch Disaster Recovery

AI / LLM Engineer Trainee

Self-Learning & Personal Projects

Sep 2025 - Nov 2025 (2 months)

Built 3 production-grade AI applications using Python, Flask, LangChain, and REST APIs. Benchmarked hybrid RAG retrieval and optimized prompt design and token budgeting, reducing latency and improving retrieval relevance.

Python Flask Lang Chain RAG ChromaDB Redis Prompt Engineering REST APIs

Full Stack Developer Intern

PySpyders

May 2025 - Aug 2025 (3 months)

Built 2 projects including a Python/Flask REST API with JWT authentication and MySQL/MongoDB data modeling, and a team-built full-stack web portal. Adopted Git feature-branch workflow and wrote optimized SQL queries.

Python Flask REST APIs JWT MySQL MongoDB Git SQL Agile Scrum

Cloud Computing & DevOps Intern

Rooman Technologies

Oct 2024 - Apr 2025 (6 months)

Deployed and managed virtual machines, cloud storage, and networking components across multiple practice environments, practicing compute provisioning and basic automation scripting.

Cloud Computing Virtual Machines Networking Scripting

Software Development Intern

Ai Robosoft

Jul 2023 - Sep 2023 (2 months)

Wrote, tested, and documented Python scripts in Jupyter, building a foundation in programming logic, debugging, and clean code documentation practices.

Python Jupyter Debugging Documentation