Harshit's Profile Picture

Machine Learning Engineer

I build production-grade AI across LLMs, computer vision, and generative AI, from training large-scale models to shipping optimized inference.

3+Years in industry
15+Projects built 84Blog posts
01 · Career

Experience, so far.

2024 – now 2 yrs 1 mo Boston, MA

Machine Learning Engineer · Autodesk

  • Research and development of generative AI models for 3D
  • Scaled distributed training across hundreds of GPUs and optimized inference for cost-efficient deployment, reducing GPU memory and latency
  • Deployed production 3D generative AI models across multimodal inputs (text, image, sketch, point cloud)
Generative AI 3D Computer Vision LLM
Jul – Dec 2023 6 mos Boston, MA

Deep Learning Research Co-op · The Jackson Laboratory

  • Researched Explainable AI methods (Integrated Gradients, SHAP) for DNA sequence and GNN healthcare models using PyTorch Geometric on HPC clusters
  • Improved accuracy by 20% through hyperparameter tuning and cross-validation
PyTorch Geometric PyTorch Captum Explainable AI GNN
2019 – 2022 3 yrs 3 mos Delhi, India

Machine Learning Engineer · Vehant Technologies

Started as Computer Vision R&D Intern (Jun 2019 – Jul 2020)

  • Built real-time video analytics (detection, tracking, re-ID, OCR, action recognition, pose estimation) in Python/C++, driving 4 new smart city contracts
  • Optimized multi-GPU pipelines with TensorRT and DeepStream: 2x faster training with distributed fp16 mixed precision and 3x inference throughput via INT8 quantization
PyTorch TensorFlow TensorRT CUDA DeepStream OpenCV SageMaker

As intern: multi-label pedestrian attribute recognition via image processing and clustering; monocular depth estimation for under-vehicle detection with RGB-D data; semantic/instance segmentation for Indian road scenes (U-Net, DeepLab, Mask R-CNN).

Jun – Aug 2018 3 mos Delhi, India

NLP Intern · Arbunize Digital

  • Applied NLP techniques (NLTK, scikit-learn) on resumes for automated information extraction, classification, and entity recognition
Python NLTK Keras scikit-learn
02 · Education

Where I studied.

2022 – 2024 Boston, MA

MS, Artificial Intelligence · Northeastern University

Khoury College of Computer Sciences · Graduate Teaching Assistant for Data Mining, Data Science, and Programming with Python

Machine Learning Computer Vision LLMs NLP Pattern Recognition Algorithms AI for HCI
2016 – 2020Delhi, India

B.Tech., Computer Science & Engineering · Guru Gobind Singh Indraprastha University — AIACTR (NSUT East Campus)