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Abrar Ahmed

@abrarahmed2304

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AI/ML engineer building production ML pipelines, autonomous agents, and novel algorithms.

India

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What I'm looking for

I’m looking to drive technological advancement at the forefront of AI and product engineering—building production ML pipelines, agentic/RAG systems, and reliable data infrastructure with cross-functional impact and strong engineering execution.

I’m an ambitious, passionate engineer with a strong foundation in deep learning, reinforcement learning, and AI systems. I’ve built production ML pipelines, autonomous execution engines, and novel algorithms, while combining product engineering with hands-on web development and DevOps.

As an Associate Product Engineering, I’ve designed end-to-end bank data ingestion with automated decision-making, plus ML-driven classification and data quality validation frameworks to reduce manual effort and improve reliability. Earlier, I worked as an Applied AI Researcher and Founding AI/ML Lead, where I architected RAG systems, LLM pipelines, and agentic frameworks (including an execution engine and an agentic recon workflow), and I supported deployment and multi-region availability with GCP/AWS and Kubernetes tooling.

Experience

Work history, roles, and key accomplishments

Current

Associate Product Engineering

Current

Keenai Global

Aug 2025 - Present (11 months)

Designed and built an end-to-end bank data ingestion platform with automated decision-making. Developed an ML-based classification system for an in-house Portfolio Management system and implemented data quality validation frameworks to ensure reliable ingestion, transformation, and downstream analytics.

Machine Learning Data Ingestion Automated Decision Making Data Pipelines Data Validation Portfolio Management Systems Cross Functional Collaboration

Founding AI/ML Lead

Quash

Jan 2025 - Jul 2025 (6 months)

Built a visual execution engine for autonomously handling tasks on mobile devices and developed a cross-modality insight extraction engine to create comprehensive test cases. Architected AI infrastructure with 7+ pipelines and 15+ agentic and LLM-based workflows, handling deployment on GCP/AWS using Kubernetes and KEDA.

AI Agentic Workflow Transformers AutoGen LangGraph Python C C++Java JavaScript Django Flask fastAPI PyQt PySide6 AWS Azure GCP Kubernetes KEDA SQL MongoDB

Applied AI Researcher

Irame

Apr 2024 - Jan 2025 (9 months)

Created a novel algorithm to automate and enhance the generation of detailed exploratory data analysis (EDA) reports. Designed agentic frameworks with graph capabilities to improve RAG results, including graph-based fraud detection and AI-based PDF document pre-processing and table extraction.

Agentic AI RAG Fraud Detection PDF Table Extraction

Applied AI Engineer

AiCade

Nov 2023 - Apr 2024 (5 months)

Architected retrieval-augmented generation (RAG) systems with custom keyword strategies to improve context retrieval accuracy for code and text generation. Built end-to-end LLM pipelines using LangChain, and engineered prompt optimization and LLM evaluation workflows; also managed a technical hiring pipeline from candidate screening to final assessment.

RAG LLM Prompts Optimization Lang Chain Refactoring LLM Evaluation Technical Hiring

Education

Degrees, certifications, and relevant coursework

Jain (Deemed-to-be University)

Bachelor of Technology (B.Tech), Computer Science and Engineering

2020 - 2024

Activities and societies: Built an end-to-end bank data ingestion platform; developed an ML-based classification system for Portfolio Management; led data pipeline architecture and data quality validation frameworks.

Pursued a B.Tech in Computer Science and Engineering with an AI focus, applying machine learning to build banking data ingestion and decisioning workflows. Worked on ML-based classification and data pipeline initiatives to improve processing accuracy and reliability.