Hi, I'm Vishwajit Singh

AI Developer based in New Delhi, passionate about building real-time intelligent systems using Python, OpenCV, and Deep Learning. I explore cutting-edge AI topics like LangChain, RAG, and autonomous agents to solve real-world problems with automation and precision.

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About Me

I'm Vishwajit Singh, an AI/ML Developer based in New Delhi and a 2024 graduate in Artificial Intelligence & Data Science from Engineering College Bikaner. Currently working as an AI Apprentice at CCS Computer Pvt Ltd, I specialize in building real-time AI solutions using tools like OpenCV, LangChain, and deep learning frameworks. I'm passionate about solving real-world challenges through scalable, intelligent automation.

Experience: 6 months in AI development
Core Stack: Python, OpenCV, Deep Learning, LangChain, SQL
Specialization: AI & DS B.Tech, ongoing specialization in LLMs & Agents

Technical Skills

AI/ML Frameworks

PyTorch
TensorFlow
Scikit-learn
OpenCV
LangChain
HuggingFace

Tools & Platforms

Python
FastAPI
Visual Studio
SQL
Docker
Google Colab

About My Skills

I architect end-to-end AI pipelines such as a real‑time people tracking system using YOLOv8 for precise object detection and DeepSORT for persistent multi-object tracking. A custom ROI module triggers entry/exit events, logs metadata to CSV, and overlays bounding boxes & track vectors on live RTSP streams. The entire workflow is containerized with Docker and exposed via FastAPI for scalable, low‑latency inference.

I also built a retrieval‑augmented email assistant powered by LLaMA 3.3 and LangChain RAG, dynamically fetching knowledge‑base snippets from Outlook to ground responses in real-world documentation. Secure document parsing and conversational state management to ensure robust, production‑ready deployment and seamless CI/CD integration.

Work Experience

CCS Computer Pvt Ltd

AI Apprentice

March 2025 – Present

Developing real-time AI applications using Python, OpenCV, LangChain, and deep learning frameworks. Contributing to AI agent systems and retrieval-augmented generation pipelines to deliver intelligent automation solutions.

IGDTUW – ISEA Research Internship

Research Intern – Malware Forensics

Jan 2025 – Mar 2025

Conducted research under the ISEA project on malware behavior and forensic analysis. Focused on automated threat detection using ML models and report summarization techniques.