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Schedule Interview NowMy name is Arslan M. and I have over 6 years of experience in the tech industry. I specialize in the following technologies: Python, Deep Learning, Computer Vision, Generative AI, Retrieval Augmented Generation, etc.. I hold a degree in Bachelor of Science (BS). Some of the notable projects I've worked on include: AI Chatbots & Agents with RAG, Persistent Memory, and Tool Usage, French Law & Legal Agent, Serverless LLM RAG Agentic AI Applications Development and Deployment, $0.80/hour - Serverless LLM Server – Scaled to 100 Concurrent Users, AI-Powered PDF Data Extraction, etc.. I am based in Dera Ismail Khan, Pakistan. I've successfully completed 25 projects while developing at Softaims.
I am a dedicated innovator who constantly explores and integrates emerging technologies to give projects a competitive edge. I possess a forward-thinking mindset, always evaluating new tools and methodologies to optimize development workflows and enhance application capabilities. Staying ahead of the curve is my default setting.
At Softaims, I apply this innovative spirit to solve legacy system challenges and build greenfield solutions that define new industry standards. My commitment is to deliver cutting-edge solutions that are both reliable and groundbreaking.
My professional drive is fueled by a desire to automate, optimize, and create highly efficient processes. I thrive in dynamic environments where my ability to quickly master and deploy new skills directly impacts project delivery and client satisfaction.
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I design and develop intelligent AI agents and chatbots that can hold long-term conversations, use external tools, and avoid hallucinations — ideal for customer support, research assistants, creative
Developed an Fully Private Intelligent Agentic RAG Workflow for French Law & Legal Domain. - Azure Cloud Platform – For scalable infrastructure, secure hosting, and cloud services. -Ollama – For pri
Serverless LLM RAG Agentic AI Applications Development and Deployment
I architected and deployed a serverless LLM serving solution using vLLM, designed to handle 100 simultaneous users with high throughput and minimal latency. The deployment was rigorously load tested,
- Organizations often face challenges in extracting useful information from a large volume of unstructured data in PDF format. - The lack of standardized data formats makes it difficult to efficient
Bachelor of Science (BS) in Electrical Engineering ( Specialization in Computing )
2018-01-01-2022-01-01