Looking for a job

Saquib Iqbal Khan

@saquibiqbalkhan

Message

I build AI and ML solutions using LLMs, RAG, computer vision, and cloud deployment.

India

Message

What I'm looking for

I'm looking to apply AI/ML, LLM, RAG, and cloud deployment skills to practical business problems while building user-oriented solutions in a collaborative cross-functional environment.

I've built practical AI solutions, including an enterprise RAG-QA system using LangChain, OpenAI, Pinecone, and Streamlit, plus a deployed conversational assistant built with React, TypeScript, and LLM workflows.

At iQuadra Information Services, I evaluated ML models for an AI interview platform, identified 25+ critical defects, and contributed to a 30% improvement in model accuracy and reliability. I've also developed a real-time computer vision system with 94% mAP and AWS Lambda deployment, while leading operations and partnerships for Enactus VIT Chennai.

Experience

Work history, roles, and key accomplishments

Operations Lead & Board Member

Enactus VIT Chennai

Mar 2023 - Jul 2024 (1 year 4 months)

Supported operations across Inara, Malar, and Minavar, covering R&D, market research, business development, partnerships, sales, and execution. Coordinated a 15+ member team across stakeholder engagements, sales activities, and project execution.

Operations Management Market Research Business Development Partnership Development Sales Team Coordination Stakeholder Collaboration R&D Cross functional Leadership

AI & Machine Learning Extern

Google Developers / SmartInternz

Aug 2023 - Nov 2023 (3 months)

Applied AI/ML to practical problem statements involving model development, deployment, and cloud integration. Collaborated with industry mentors to translate problem statements into working ML solutions.

Machine Learning Model Development Model Deployment Cloud Integration Collaboration

Junior Developer – Testing & AI/ML

iQuadra Information Services

Aug 2023 - Oct 2023 (2 months)

Evaluated ML models for an AI interview platform, identifying 25+ critical defects and performance issues. Collaborated with the data science team, contributing to a 30% improvement in model accuracy and reliability.

Machine Learning Model Evaluation Defect identification Test Case Development Regression Testing Technical Documentation Cross Functional Collaboration