Amartya Achin Mandal
Summary
Machine Learning Engineer with 5+ years of experience designing applied ML systems and multimodal deep learning models across computer vision, LiDAR data, and structured datasets. Proven experience building scalable machine learning pipelines, training deep neural networks, and deploying production ML systems on cloud infrastructure.
Experienced collaborating with research teams to translate experimental models into robust, reproducible ML systems supporting large-scale experimentation, model evaluation, and data processing workflows.
Technical focus includes multimodal learning, computer vision, representation learning, ML experimentation frameworks, and distributed training pipelines using Python, PyTorch, and AWS infrastructure.
Research Interests:
Multimodal learning • Computer vision • Applied ML systems • ML infrastructure • Representation learning
Overview
8
8
years of professional experience
Work History
Founding Machine Learning Engineer
Joulea Inc
Atlanta, GA
02.2023 - Current
- Designed and deployed multimodal machine learning pipelines combining RGB imagery and LiDAR point clouds to generate digital twin representations of commercial buildings.
- Developed GPU-accelerated 3D anomaly detection workflows using PyTorch and Open3D, improving anomaly localization precision by 30%.
- Trained and deployed deep learning models for multimodal thermal anomaly detection using modified YOLO architectures achieving 0.78 mAP.
- Implemented computer vision pipelines for RGB-IR alignment using SegFormer and Detectron2, reducing preprocessing time by ~1 week.
- Built ML ingestion microservices using FastAPI enabling scalable data pipelines with 66% higher processing throughput.
- Developed ML experimentation infrastructure on AWS (SageMaker, S3) to support model training, evaluation, and deployment workflows.
- Built RAG-based AI systems using LangChain and LangGraph to process structured and document-based datasets.
Graduate Research Assistant
Georgia Institute of Technology
Atlanta, GA
08.2021 - 12.2022
- Developed real-time object detection and tracking systems using YOLOv5, YOLOv7, DeepSORT, and StrongSORT.
- Designed automated computer vision pipelines for tracking behavioral patterns in biological research environments.
- Optimized inference pipelines using quantized ONNX models deployed on Google Coral TPUs, improving performance by 30%.
- Collaborated with academic researchers to build reproducible ML research workflows.
Data Science & AI Intern
AstraZeneca
Gaithersburg, MD
05.2022 - 08.2022
- Built biomedical knowledge graph frameworks integrating clinical omics datasets using Neo4j and PyKEEN.
- Applied graph neural networks and ensemble ML models to identify disease endotypes and patient clusters.
- Extracted biologically relevant protein features using Random Forest and XGBoost.
AI Scientist (Computer Vision)
Synapsica Healthcare
Bangalore
06.2019 - 07.2021
- Built deep learning systems for medical imaging analysis including classification, segmentation, and key-point detection.
- Improved prediction acceptance rates for spinal X-ray models to 72%+ using heatmap-based detection.
- Increased model F1 score by 23% through data augmentation and regularization strategies.
- Deployed ML systems integrated with radiology PACS platforms.
Machine Learning Engineer
Decimal Point Analytics
Mumbai
04.2018 - 06.2019
- Built sentiment analysis models using CNN-RNN-LSTM architectures for financial news classification.
- Automated ML pipelines saving 60+ manual analysis hours per month.
- Containerized ML services using Docker and AWS ECS/EKS.
Education
Master of Science - Computer Science (Machine Learning Specialization)
Georgia Institute of Technology
Atlanta, Georgia08-2024
Master of Science - Bioinformatics
Georgia Institute of Technology
Atlanta, Georgia12-2022
Bachelor of Technology - Biotechnology
Indian Institute of Technology Guwahati
Guwahati, India06-2017
Skills
- Programming
Python, SQL, R, MATLAB, JavaScript - Machine Learning / Deep Learning
PyTorch, TensorFlow (Keras), Scikit-learn, Detectron2, SegFormer, YOLO, CycleGAN
- Computer Vision & Multimodal Learning
Object Detection Image Segmentation Multimodal Models 3D Vision LiDAR Processing - ML Systems & Infrastructure
ML Pipelines Model Evaluation Experimentation Frameworks Data Processing Workflows
Timeline
Founding Machine Learning Engineer
Joulea Inc
02.2023 - Current
Data Science & AI Intern
AstraZeneca
05.2022 - 08.2022
Graduate Research Assistant
Georgia Institute of Technology
08.2021 - 12.2022
AI Scientist (Computer Vision)
Synapsica Healthcare
06.2019 - 07.2021
Machine Learning Engineer
Decimal Point Analytics
04.2018 - 06.2019
Master of Science - Computer Science (Machine Learning Specialization)
Georgia Institute of Technology
Master of Science - Bioinformatics
Georgia Institute of Technology
Bachelor of Technology - Biotechnology
Indian Institute of Technology Guwahati