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Usman S. AI, Data Engineering and NLP Platforms

My name is Usman S. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Large Language Model, Prompt Engineering, Retrieval Augmented Generation, LoRa, LangChain, etc.. I hold a degree in Master of Business Administration (MBA). Some of the notable projects I've worked on include: LLM/RAG Evaluation Framework, Domain‑Specific LLM Assistant Using Instruction Tuning, Document Ingestion & Chunking Pipeline for Large Scale Knowledge, Semantic Search Engine Using Embeddings & Vector Databases, Instruction‑Tuned Dataset Creation for LLMs, etc.. I am based in Toronto, Canada. I've successfully completed 10 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.

Main technologies

  • AI, Data Engineering and NLP Platforms

    2 years

  • Large Language Model

    1 Year

  • Prompt Engineering

    1 Year

  • Retrieval Augmented Generation

    1 Year

Additional skills

  • Large Language Model
  • Prompt Engineering
  • Retrieval Augmented Generation
  • LoRa
  • LangChain
  • PandasAI
  • Program Evaluation
  • Data Ingestion
  • NLP Tokenization
  • OpenAI Embeddings
  • Text Classification
  • Text Summarization
  • Python Numpy FastAI
  • Pinecone
  • Data Engineering

Direct hire

Potentially possible

Previous Company

NeuroLayer Technologies

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Experience Highlights

LLM/RAG Evaluation Framework

Built an evaluation framework to benchmark LLM and RAG outputs using accuracy, grounding, relevance, and hallucination metrics. Automated comparisons of retrievers and model settings, generating struc

Domain‑Specific LLM Assistant Using Instruction Tuning

Created a domain specialized assistant using instruction tuning and SFT datasets. Curated industry data, applied LoRA/qLoRA fine tuning, evaluated outputs, and delivered a model with improved accuracy

Document Ingestion & Chunking Pipeline for Large Scale Knowledge

Built a complete ingestion pipeline for PDFs, DOCX, HTML, and text. Applied normalization, cleaning, deduplication, and token‑aware chunking. Added metadata tagging and prepared high quality chunks re

Semantic Search Engine Using Embeddings & Vector Databases

Developed a semantic search system using embeddings and vector databases (FAISS/Weaviate). Designed indexing, similarity retrieval, reranking, and metadata filters to deliver accurate, meaning based s

Instruction‑Tuned Dataset Creation for LLMs

Created a high quality instruction dataset for fine‑tuning, including extraction, cleaning, deduplication, and formatting into SFT pairs. Generated synthetic samples, improved balance, and prepared ev

Education

  • Institute of Business Administration

    Master of Business Administration (MBA) in Computer science

    2001-01-01-2004-01-01

Languages

  • English (Native or Bilingual)