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Shehryar G. AI, Generative AI and SaaS Platforms

My name is Shehryar G. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: Generative AI, Artificial Intelligence, LangChain, AI Agent Development, Machine Learning, etc.. I hold a degree in Master's degree, . Some of the notable projects I’ve worked on include: RAG Chatbot Development, Reinforcement Learning & DP for Optimal Stock Trade Timing, Survey Data Interpretation & Visualization (Relationships Study), Statistical Formula & Model for Expense Variables, Statistical Analysis on Effects of Weight Loss Drugs on IVF Outcomes, etc.. I am based in Lahore, Pakistan. I've successfully completed 35 projects while developing at Softaims.

Information integrity and application security are my highest priorities in development. I implement robust validation, encryption, and authorization mechanisms to protect sensitive data and ensure compliance. I am experienced in identifying and mitigating common security vulnerabilities in both new and existing applications.

My work methodology involves rigorous testing—at the unit, integration, and security levels—to guarantee the stability and trustworthiness of the solutions I build. At Softaims, this dedication to security forms the basis for client trust and platform reliability.

I consistently monitor and improve system performance, utilizing metrics to drive optimization efforts. I’m motivated by the challenge of creating ultra-reliable systems that safeguard client assets and user data.

Main technologies

  • AI, Generative AI and SaaS Platforms

    4 years

  • Generative AI

    3 Years

  • Artificial Intelligence

    1 Year

  • Langchain

    1 Year

Additional skills

  • Generative AI
  • Artificial Intelligence
  • Langchain
  • AI Agent Development
  • Machine Learning
  • Retrieval Augmented Generation
  • LLM Prompt Engineering
  • Chatbot Development
  • AI App Development
  • SaaS Development
  • Large Language Model
  • Web Scraping
  • Vector Database
  • LLM Prompt
  • LLM

Direct hire

Potentially possible

Previous Company

Techlogix

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Experience Highlights

RAG Chatbot Development

Developed a ChatGPT-like chatbot using Llama.cpp, Chroma, and Streamlit with Retrieval-Augmented Generation (RAG). The system ingests Markdown files and answers user queries based on their context, enabling accurate, conversation-aware responses. Delivered an interactive UI, efficient embeddings storage/retrieval, and smooth conversational flow.

Reinforcement Learning & DP for Optimal Stock Trade Timing

Built a Python solution using reinforcement learning and dynamic programming to select a single buy–sell pair that maximizes profit. Ingested six feature sets and price series across timeframes, framed the task as an MDP, and implemented value/Q-learning with backtesting under the 1-buy/1-sell constraint. Delivered notebook, visualizations, and a step-by-step client walkthrough. Output: best buy day, best sell day, and cumulative P&L.

Survey Data Interpretation & Visualization (Relationships Study)

Partnered with client to interpret and visualize survey data on relationship topics. Conducted exploratory data analysis (EDA), identified meaningful insights, and transformed complex survey responses into clear, compelling visualizations. Delivered interactive dashboards and charts during live Zoom collaboration sessions, ensuring real-time feedback and refinement. Final results provided the client with actionable insights and a presentation-ready dataset.

Statistical Formula & Model for Expense Variables

Developed a bespoke statistical framework to formalize a novel cost concept for a client’s whitepaper. Translated requirements into a closed-form formula with clear assumptions, built a parametric model, and delivered sample calculations to validate the concept. Provided sensitivity analysis and scenario testing to show robustness and limits. Results were documented in a publication-ready format aligned with the client’s desired whitepaper quality.

Statistical Analysis on Effects of Weight Loss Drugs on IVF Outcomes

Performed advanced statistical analysis to study the impact of weight-loss drug use (Ozempic) on IVF outcomes across multiple patient groups. Cleaned and structured demographic and clinical data, including BMI, egg retrieval, embryo ploidy, and pregnancy results. Applied generalized estimating equations (GEE) to handle repeated cycles and outcomes per patient, ensuring robust modeling. Delivered actionable insights supporting research in reproductive medicine.

Education

  • Pwskills

    Master's degree in Data Science

    2019-01-01-2021-01-01

  • Zep Analytics

    in Data Analytics

    2018-01-01-2019-01-01

Languages

  • German
  • English
  • French
  • Hindi
  • Japanese
  • Panjabi, Punjabi
  • Urdu

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