Paramveer Singh is an experienced AI/ML Engineer with a strong background in Data Analytics and full-stack development. He has led multiple commercial projects as a Solution Architect, focusing on GenAI technologies and automation. His technical expertise includes Python, Django, and various database management systems, enabling him to deliver impactful solutions across different domains.
Led development as Solution Architect for a GenAI-powered Chatbot Assistant.
Designed and implemented Computer Vision solutions for applications like gas meter reading.
Developed and automated KPI and ROI reports using Python and MySQL.
Successfully developed a GenAI-powered Chatbot Assistant that improved user engagement by 30%.
Automated KPI and ROI reports, reducing manual reporting time by 50%.
Designed a Computer Vision solution that increased accuracy in gas meter readings by 20%.
Overview: Developed a chatbot assistant to handle user queries by leveraging a client-provided knowledge base. Responsibilities: Designed the solution architecture using Django Framework and Python. Integrated Natural Language Processing and ChromaDB for context-aware responses. Deployed the application on a Linux Server.
Key outcomes:
Developed a chatbot assistant capable of delivering accurate and context-aware responses.
Overview: Developed an API to process gas meter images and extract meter numbers along with consumption units. Responsibilities: Implemented Python-based image processing logic. Conducted YOLO Model Training for object detection. Integrated Paddle OCR for optical character recognition from images. Deployed the API on a Windows Server.
Key outcomes:
Created an API that accurately processes gas meter images to return meter numbers and consumption units.
Overview: Designed and implemented standalone software to automatically trim ball-playing clips from practice session videos. Responsibilities: Developed Python-based image processing algorithms. Performed YOLO Model Training to track objects (balls/players). Implemented logic to compress video size and calculate ball speed and trajectory. Deployed the software on a Linux Server.
Key outcomes:
Designed and implemented software that automates trimming of ball-playing clips, compresses video, and calculates ball speed/trajectory.
Computer Vision for Robot — object/boundary detection for autonomous robot navigation + Python + motor control.
Key outcomes:
Developed and implemented object and boundary detection logic for autonomous robot navigation, including motor control.
Tableau Dashboard Development — KPI dashboards for business users + SQL queries + business statistics.
Key outcomes:
Successfully developed and maintained Tableau dashboards that provided business users with key insights.
Paramveer
AI/ML Engineer