Hi, I'm Praveen Singh, a Machine Learning Engineer with over five years of experience specializing in developing and deploying large language models and multimodal models across various cloud platforms. I am passionate about fine-tuning large-scale models, optimizing inference performance, and building strong ML infrastructure. I enjoy mentoring junior engineers and working on innovative projects that push the boundaries of AI applications. I have a solid background in MLOps, cloud deployment, and real-time data processing, with hands-on expertise in AWS SageMaker, GCP Vertex AI, and Azure ML among others. My work spans the geotechnical industry, finance, and computer vision, where I've contributed to scalable ML pipelines and improved model accuracy and efficiency. I'm excited to leverage my skills to solve complex challenges and deliver impactful AI solutions.

Praveen Singh

Hi, I'm Praveen Singh, a Machine Learning Engineer with over five years of experience specializing in developing and deploying large language models and multimodal models across various cloud platforms. I am passionate about fine-tuning large-scale models, optimizing inference performance, and building strong ML infrastructure. I enjoy mentoring junior engineers and working on innovative projects that push the boundaries of AI applications. I have a solid background in MLOps, cloud deployment, and real-time data processing, with hands-on expertise in AWS SageMaker, GCP Vertex AI, and Azure ML among others. My work spans the geotechnical industry, finance, and computer vision, where I've contributed to scalable ML pipelines and improved model accuracy and efficiency. I'm excited to leverage my skills to solve complex challenges and deliver impactful AI solutions.

Available to hire

Hi, I’m Praveen Singh, a Machine Learning Engineer with over five years of experience specializing in developing and deploying large language models and multimodal models across various cloud platforms. I am passionate about fine-tuning large-scale models, optimizing inference performance, and building strong ML infrastructure. I enjoy mentoring junior engineers and working on innovative projects that push the boundaries of AI applications.

I have a solid background in MLOps, cloud deployment, and real-time data processing, with hands-on expertise in AWS SageMaker, GCP Vertex AI, and Azure ML among others. My work spans the geotechnical industry, finance, and computer vision, where I’ve contributed to scalable ML pipelines and improved model accuracy and efficiency. I’m excited to leverage my skills to solve complex challenges and deliver impactful AI solutions.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Machine Learning Engineer at Fugro — Geo-data Intelligence
March 1, 2024 - Present
Fine-tuned multimodal LLMs (Llama3.2-vision, LLaVA2.6, MiniCPM) using Unsloth, DeepSpeed, and LoRA to increase accuracy by 30% and reduce compute costs by 28% via Amazon SageMaker. Led the design and development of a scalable ML pipeline leveraging Sonnet3.7 MLLM to achieve 92% accuracy in extracting and structuring borehole log PDFs using Amazon Bedrock. Engineered an asynchronous inference queuing system handling 500+ parallel requests, reducing latency by 200 ms and increasing throughput by 40%. Integrated MLflow for automated experiment tracking and real-time inference monitoring, ensuring models met KPIs. Developed advanced Chain of Thought prompting techniques that increased inference precision by 35%, reducing hallucination rates. Mentored a Junior ML Engineer on dataset curation and supervised benchmarking of LLMs including GPT-4.0 and Gemini 2.0.
Data Scientist at Prospect33.ai (Client: Blackrock)
March 1, 2024 - July 22, 2025
Collaborated on building robust Python functions for handling large-scale financial datasets. Led feature engineering on merger and acquisition datasets using custom imputation techniques such as DNN and Midaspy. Pioneered methods like FairCutForest and Rough K-Means to improve model accuracy by 8%. Successfully deployed the pipeline on SageMaker.
Machine Learning Engineer at Sponsorlytix Ltd.
August 1, 2023 - July 22, 2025
Engineered custom yolov5 models in Python (PyTorch) for computer vision pipelines focused on sports ads and sponsor logos. Leveraged transfer learning, data analysis, and augmentation techniques to boost model performance by 15%. Accelerated hyperparameter tuning, experiment tracking, and model registry using MLflow. Wrapped prediction service in Flask API, reducing latency by 20%. Deployed models on AWS with Docker.
Senior Software Engineer at MakeMyTrip Ltd.
August 31, 2021 - July 22, 2025
Implemented MongoDB-backed GraphQL content delivery system integrating real-time COVID-19 regulation updates with 120ms response time, serving 2000 million requests/month. Built Python-Django-based flight data API reducing manual errors by 75%, enhancing decision making for 11 airline partners. Developed RPA bot automating 500+ refunds daily, cutting processing time by 90% and saving over 20 hours/day for the support team.
Intern at Defence Research and Development Organisation
July 31, 2018 - July 22, 2025
Built Ship Recognition System using TensorFlow Object Detection API, training Faster-RCNN model with up to 99.5% accuracy in image classification and localization of ships in video feed.
Intern at Risk Latte Americas Inc.
January 31, 2018 - July 22, 2025
Researched and analyzed machine learning algorithms in computational mathematics. Developed Genetic Algorithm in Excel VBA for solving Ordinary Differential Equations with 98% accuracy.

Education

Masters of Applied Computer Science at Concordia University
September 1, 2021 - April 30, 2023
Bachelor of Technology at Delhi Technological University
June 1, 2015 - June 30, 2019

Qualifications

Data Specialization by Johns Hopkins University
January 11, 2030 - July 22, 2025
Machine Learning by Stanford University
January 11, 2030 - July 22, 2025
Machine Learning Foundations: A Case Study Approach By the University of Washington
January 11, 2030 - July 22, 2025
Algorithmic Toolbox by University of California San Diego
January 11, 2030 - July 22, 2025
The Science of Well-Being by Yale University
January 11, 2030 - July 22, 2025

Industry Experience

Energy & Utilities, Financial Services, Software & Internet, Professional Services, Travel & Hospitality

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
See more