About
Machine Learning Engineer with experience in Machine Learning, Computer Vision, and LLM-based applications. Experienced in building YOLO-based object detection systems for industrial safety, measurement, and monitoring use cases. Skilled in RAG pipelines, semantic search, financial analytics platforms, and multi-agent AI workflows using OpenAI API, Gemini API, LangChain, and vLLM. Hands-on experience with Pydantic validation, prompt evaluation, API integration, and scalable data pipelines using Apache Airflow and financial datasets from Polygon.io.
Skills & Expertise (38)
Work Experience
Junior Data Scientist
Tooliqa
Jul 2026 - Aug 2026
Developed production-grade AI and data pipelines for automated analytics, reporting, and intelligent data processing. Built LLM-powered chatbot workflows using OpenAI models and tool calling to query, extract, and process tabular survey data from databases, integrating in-house tools such as table extraction utilities for structured analysis. Designed multi-agent LLM workflows for financial monitoring, integrating Polygon.io APIs to ingest and analyze market data at 5-minute intervals. Developed end-to-end ETL workflows using Apache Airflow and Pydantic validation for reliable, scalable data processing and automated reporting. Built an interview intelligence pipeline using speech-to-text, text-to-speech, and LLMs to transcribe, summarize, and extract themes and insights from interviews; evaluated and integrated Google Speech-to-Text, AssemblyAI, Sarvam AI, and Speechmatics.
Data Science Intern
Tooliqa
Jan 2026 - Jun 2026
Built a semantic search chatbot over tabular datasets using Gemini API and all-MiniLM-L6-v2 embeddings, enabling natural-language querying and reducing manual data lookup. Implemented embedding-based retrieval and tool-calling workflows to efficiently retrieve relevant data, reduce unnecessary LLM context, and generate structured analytical reports. Developed a financial monitoring platform integrating Polygon.io APIs with multi-agent LLM workflows for automated market-data analysis and insights. Built end-to-end ETL pipelines using Apache Airflow and Pydantic validation for automated processing and generation of financial insights at scale.
ML-CV Trainee
Helmerich and Payne
Dec 2023 - Apr 2025
Built YOLO-based computer vision models for pipe height estimation and perimeter-breach detection. Improved detection accuracy by 25% and reduced inspection and safety-monitoring time by 40%. Worked on a Microsoft T5-based code reviewer integrated via API to evaluate interview and production-level code. Delivered structured code-quality feedback through automated review workflows.
Programmer Analyst Trainee
Cognizant
Oct 2023 - Dec 2023
Worked with JCL, COBOL, and ISPF in developing and maintaining enterprise mainframe applications. Debugged and optimized existing applications, contributing to improved processing efficiency and system reliability. Collaborated with cross-functional teams to troubleshoot complex application issues and implement effective solutions.
Machine Learning Intern
Amity University
Jan 2023 - May 2023
Developed a Django-based Hospital Management System integrating machine learning and data analytics to support healthcare operations. Designed backend workflows and database integration to manage hospital records and streamline information retrieval. Applied Python and machine learning concepts to develop data-driven features for clinical and operational use cases.
Machine Learning Intern
Xcitedu Software Solutions
Feb 2021 - Jun 2021
Developed web applications and REST APIs using Django and Python for image processing and computer vision-based apparel recommendations. Applied deep learning and natural language processing techniques to develop a prototype chatbot. Integrated machine learning workflows with web applications to deliver interactive AI-powered features.
Machine Learning Intern
Blue Planet Infosolutions
Oct 2020 - Jan 2021
Developed a Django-based Diet Diary application using Python and MySQL for tracking and managing dietary information. Implemented backend functionality and database integration for storing and retrieving user diet records. Applied software development and machine learning concepts to build and deploy application features.
Education
Integrated B.Tech + M.Tech in Biotech - Amity University
2018 - 2023 · Afghanistan
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Skills (38)
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