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Machine Learning engineer specializing in Computer Vision and Natural Language Processing, with hands-on experience building and deploying deep learning models using PyTorch, TensorFlow, and Transformers. Experienced in end-to-end workflows including data preprocessing, model training, API integration, and real-time inference. Passionate about applying ML research to real-world, scalable applications and building production-grade AI systems with fast web/API integrations, automation pipelines, and LLM-based solutions across document processing, assistants, and incident resolution.…Machine Learning engineer specializing in Computer Vision and Natural Language Processing, with hands-on experience building and deploying deep learning models using PyTorch, TensorFlow, and Transformers. Experienced in end-to-end workflows including data preprocessing, model training, API integration, and real-time inference. Passionate about applying ML research to real-world, scalable applications and building production-grade AI systems with fast web/API integrations, automation pipelines, and LLM-based solutions across document processing, assistants, and incident resolution.

Sreedhrison S

AI Engineer, Data Scientist, Software Engineer, +1

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Machine Learning engineer specializing in Computer Vision and Natural Language Processing, with hands-on experience building and deploying deep learning models using PyTorch, TensorFlow, and Transformers. Experienced in end-to-end workflows including data preprocessing, model training, API integration, and real-time inference. Passionate about applying ML research to real-world, scalable applications and building production-grade AI systems with fast web/API integrations, automation pipelines, and LLM-based solutions across document processing, assistants, and incident resolution.…Machine Learning engineer specializing in Computer Vision and Natural Language Processing, with hands-on experience building and deploying deep learning models using PyTorch, TensorFlow, and Transformers. Experienced in end-to-end workflows including data preprocessing, model training, API integration, and real-time inference. Passionate about applying ML research to real-world, scalable applications and building production-grade AI systems with fast web/API integrations, automation pipelines, and LLM-based solutions across document processing, assistants, and incident resolution.

Available to hire

Machine Learning engineer specializing in Computer Vision and Natural Language Processing, with hands-on experience building and deploying deep learning models using PyTorch, TensorFlow, and Transformers. Experienced in end-to-end workflows including data preprocessing, model training, API integration, and real-time inference.

Passionate about applying ML research to real-world, scalable applications and building production-grade AI systems with fast web/API integrations, automation pipelines, and LLM-based solutions across document processing, assistants, and incident resolution.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

Copilot Engineer at Fulcrum Digital PVT LTD

February 1, 2025 - Present

Designed and developed AI-powered enterprise applications using LLMs, machine learning, and agentic AI. Built scalable backend services, REST APIs, and intelligent automation workflows using Python and FastAPI. Delivered production-grade AI solutions for document processing, website analysis, AI assistants, code review automation, and incident resolution. Integrated enterprise platforms, cloud services, OCR, and LLM-based pipelines to automate business processes and improve operational efficiency. Emphasis on cloud-native implementations combining backend engineering, enterprise integrations, and intelligent workflow automation.

Machine Learning Programmer Trainee at Inceptus

May 1, 2024 - August 1, 2025

Improved model accuracy using advanced feature engineering and algorithm selection. Implemented NLP pipelines for sentiment analysis and classification using Transformers and traditional ML. Performed hyperparameter tuning and optimized model training time and resource usage. Deployed models for real-time inference via APIs using FastAPI and Docker. Evaluated models using F1 score, ROUGE, and confusion matrices on benchmark datasets. Collaborated with cross-functional teams on data pipeline integration and testing.