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Hi, I’m Megha Singh, an AI/ML Engineer with hands-on experience in building scalable ML systems, deploying foundation models, and developing GPT-based and computer vision applications. I design RAG pipelines, vector search architectures, and microservices optimized for low-latency cloud-native inference. I thrive in collaborative environments where experimentation meets robust engineering, turning data into reliable, real-world AI solutions.…Hi, I’m Megha Singh, an AI/ML Engineer with hands-on experience in building scalable ML systems, deploying foundation models, and developing GPT-based and computer vision applications. I design RAG pipelines, vector search architectures, and microservices optimized for low-latency cloud-native inference. I thrive in collaborative environments where experimentation meets robust engineering, turning data into reliable, real-world AI solutions.

Megha Singh

AI Engineer, Data Scientist, Full Stack Developer, +2

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Hi, I’m Megha Singh, an AI/ML Engineer with hands-on experience in building scalable ML systems, deploying foundation models, and developing GPT-based and computer vision applications. I design RAG pipelines, vector search architectures, and microservices optimized for low-latency cloud-native inference. I thrive in collaborative environments where experimentation meets robust engineering, turning data into reliable, real-world AI solutions.…Hi, I’m Megha Singh, an AI/ML Engineer with hands-on experience in building scalable ML systems, deploying foundation models, and developing GPT-based and computer vision applications. I design RAG pipelines, vector search architectures, and microservices optimized for low-latency cloud-native inference. I thrive in collaborative environments where experimentation meets robust engineering, turning data into reliable, real-world AI solutions.

Available to hire

Hi, I’m Megha Singh, an AI/ML Engineer with hands-on experience in building scalable ML systems, deploying foundation models, and developing GPT-based and computer vision applications. I design RAG pipelines, vector search architectures, and microservices optimized for low-latency cloud-native inference.

I thrive in collaborative environments where experimentation meets robust engineering, turning data into reliable, real-world AI solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Research Associate Intern at Propel PRM

November 1, 2025 - November 17, 2025

Conducted high-accuracy research and data validation to enrich journalist contact database, and built automation scripts for data cleaning, scraping, and workflow optimization to improve efficiency.

AI/ML/CV Intern at Aasvaa Universal Pvt. Ltd.

November 1, 2025 - November 1, 2025

Built a high-accuracy business card reader pipeline (OCR + LLM parsing) using EasyOCR, OpenCV, NLTK, and regex, with LLM-driven parsing via Groq for robust entity extraction. Developed a Face Recognition Photobooth system using FastAPI and Docker with FaceNet and VGG16 for embeddings, achieving sub-3s inference latency. Implemented YOLO-based theatre seat detection with a real-time mapping to seating coordinates and integrated live booking data. Preprocessed 1.3M+ legal documents and designed a RAG pipeline with LangChain and FAISS/MongoDB to achieve >90% retrieval precision and sub-3s LLM latency.

Software Engineering Intern at Alliance Automation Pvt. Ltd.

June 1, 2025 - June 1, 2025

Developed an AI-driven inventory management system using YOLO and OpenCV for automated item detection, built a real-time item recognition pipeline with camera feeds, designed a cross-platform Kivy dashboard to visualize live product movement and alerts, and automated reporting pipelines deployed on AWS, reducing manual reporting time by 60%.