HIMANSHU MANRAL
Bangalore
Summary
Energetic and innovative Generative AI/Computer Vision Engineer eager to leverage a profound background in AI, specializing in computer vision, NLP, deep learning, LLM frameworks, vector databases, and cloud deployment. Aims to apply technical skills and creativity in developing state-of-the-art AI solutions within a dynamic team setting.
Overview
5
5
years of professional experience
Work History
Senior Machine Learning Engineer
Quantiphi Analytics
Bangalore
01.2024 - Current
- Implemented an RAG-based question-answering system to obtain grounded responses from a large language model for user queries.
- Developed a module leveraging LLM to convert natural language queries into elastic search and SQL queries.
- Developed an Intelligent code assistant that delivers real-time, accurate code suggestions, explanations, and debugging tips by leveraging the latest documentation and discussions from trusted sources such as stack overflow
Senior Associate Consultant
Infosys
Bangalore
02.2023 - 05.2023
- Train deep learning-based edge detection model to detect edges in the upper and lower mould of wind turbine, setup preprocessing pipeline
- Implemented a queue to handle multiple requests at the same time in the feedback hub module
- Rectify the Python code quality issue for the module given.
Senior Engineer
LTTS
Bangalore
07.2020 - 12.2022
- Worked on feature development such as Template Drawing, Intelligent Drawing, Web Scanning, video tools, and the R&D side of the project
- Created multiple POCs utilizing deep learning, including intelligent video generation, deep image matting, and slogan grammar checking.
- Implemented log masking and alarm, interface logging module for algorithm service
- Deployed Algorithm service via CI/CD pipeline.
Software Engineer
Spanidea Systems
Bangalore
07.2019 - 05.2020
- Developed a drowsiness detection safety system which uses a pre-trained dlib facial landmark detection model to detect a face in the frame and out key point regressor for eye localization and trigger alarm when in a state of drowsiness.
- Train custom object detector using tensor flow object detection API to detect Two-Wheeler parts in an assembly line
Education
Bachelor of Engineering - Electronics and Communication Engineering
Rustamji Institute of Technology
05.2017
Skills
- Languages: Python
- Frameworks/Library: OpenCV, TensorFlow, PyTorch, Scikit-Learn, NLTK, LangChain, LangGraph, LlamaIndex, Flask
- Machine Learning: Computer Vision, Image Processing, Deep Learning, Transfer Learning, NLP
- Generative AI Technologies: VAE, GAN, CLIP, LLM models (Google Gemini Pro, OpenAI, Llama2, OpenAI)
- Vector Databases: Google Data Store, ChromaDB, Pinecone
- Deployment Platform: GCP (Cloud Run), AWS (EC2)
- AI/ML Techniques: Classification, Object Detection, Image Segmentation, RAG, Vector Embedding, Fine-tuning with custom data, Docker, kubernetes, Quantization
Timeline
Senior Machine Learning Engineer
Quantiphi Analytics
01.2024 - Current
Senior Associate Consultant
Infosys
02.2023 - 05.2023
Senior Engineer
LTTS
07.2020 - 12.2022
Software Engineer
Spanidea Systems
07.2019 - 05.2020
Bachelor of Engineering - Electronics and Communication Engineering
Rustamji Institute of Technology
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