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Schedule Interview NowMy 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.
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Techlogix
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.
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.
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.
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.
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.
Master's degree in Data Science
2019-01-01-2021-01-01
in Data Analytics
2018-01-01-2019-01-01