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Shreya Boyane - AI/ML Engineer

Shreya Boyane is an AI/ML Engineer specializing in production-grade Agentic AI workflows, LLM systems, and Computer Vision solutions. Currently pursuing a Master of Science in Artificial Intelligence at Worcester Polytechnic Institute (WPI) in Worcester, Massachusetts.

Expertise

  • Agentic AI Workflows & Multi-Agent Systems
  • Large Language Models (LLMs) & Natural Language Processing
  • Computer Vision & Deep Learning
  • Brain-Computer Interfaces (BCI)
  • Python, PyTorch, TensorFlow
  • MLOps & Production ML Systems

Education

MS in Artificial Intelligence - Worcester Polytechnic Institute (WPI)

Contact

shreyaa.boyane@gmail.com | LinkedIn | GitHub

Experience

3+ years across AI research, DevOps, and production ML systems.

Featured Projects

From multi-agent AI systems to computer vision and medical imaging.

Aug - Dec 2025

Multi-Agent Immigration Document Validation

GQP at WPI x Crossing

Multi-agent RAG pipeline for H-1B workflows with deterministic validation. Reduced review cycle from 3-4 days to under 5 minutes.

95-99% accuracy5 min processing70% cost reduction
LangGraphAWS BedrockPydanticLambda
Mar - Aug 2025

MADWE: Multi-Agent Diffusion World Engine

Real-Time Game Asset Generation

Architected real-time orchestration routing work to specialist agents over shared World State Graph with budget-aware scheduling.

120 assets/min60 FPS73% time saved
PyTorchONNXTensorRTUnityLoRA
Mar - Apr 2025

Einstein Vision: 3D Autonomous Vehicle Viz

Tesla FSD-Inspired System

End-to-end visualization for real-time 3D traffic scene rendering using Tesla Model S sensor data with depth estimation and pose mapping.

75% realism boost50% accuracy gain
OpenCVPyTorchBlenderDepth Anything
Feb - Mar 2025

TumorLytix: Brain Tumor Detection

Unsupervised Medical Imaging

Deep learning solution for brain tumor segmentation using CycleGAN and diffusion models on 65,072 MRI samples.

90%+ accuracy65K MRI images15% improvement
TensorFlowPyTorchCycleGANDiffusion
Apr - May 2025

VIO: Visual-Inertial Odometry

Deep Multimodal Fusion

Time series models using FlowNet CNN, bi-LSTM and Transformer fusion for robot localization with TensorRT deployment.

RMSE 7.9-12.135% faster20% less VRAM
PyTorchFlowNetbi-LSTMTensorRT
2025

RoboFusion: ML-Driven Robotic Arm Control

ROS2 + Computer Vision

ML-powered robotic arm with real-time object detection, grasp planning, and ROS2 integration for autonomous pick-and-place tasks.

Real-time control92% grasp rateSim-to-real
ROS2PyTorchOpenCVMoveIt2Gazebo
2025

Medical-Triage-HIL

LLM for Emergency Triage

Human-in-the-loop LLM system for emergency medical triage with confidence-aware routing and difficulty-weighted training.

20% precision gain60% detection boost50% less errors
LLMsPyTorchScikit-LearnFastAPI
1/6

Tech Stack

91 technologies across 6 domains

91Skills
AI & ML22.0%
20 skills
CV & 3D14.3%
13 skills
Cloud/DevOps19.8%
18 skills
Programming15.4%
14 skills
Frameworks17.6%
16 skills
Data & DBs11.0%
10 skills

Achievements

Awards, certifications, and academic highlights.

0.00

GPA

0+

Years Experience

0+

Projects Built

0+

Certifications

Top Talent Award

DevOps Excellence

Persistent Systems

Data Science GQP MVP

Outstanding Project Contribution

WPI x Crossing

Bravo Individual Award

Technology & Process Excellence

Persistent Systems

Team Excellence Award

Annual Awards FY2023

Persistent Systems

Bravo Team Award

Teamwork & Dedication

Persistent Systems

Top Intern

Out of 20,000+ New Joiners

Persistent Systems

Certifications & Badges

Google Cloud & NVIDIA CommunityNVIDIA Developer ProgramGemini Enterprise Agent ReadyDeploy Faster GenAI with NVIDIA NIM on GKEIntro to Inference: AI Models on GPUSpeed Up Data Analytics with GPUsPython Gold Badge - HackerRankGoogle Developer Profile
Google DeveloperDev.to

Research

Ongoing

Algoverse

Physical AI domain

Ongoing

Independent Study — Prof. Roee Shraga

Responsible AI — Worcester Polytechnic Institute

Jan – Aug 2025

Graduate Student Researcher

GenAI + Human-in-the-Loop triage assistant — WPI

Improved triage precision 20%, ESI accuracy 25%, reduced miscommunication 50%

Education

Aug 2024 - May 2026

M.S. in Artificial Intelligence

Worcester Polytechnic Institute

GPA: 3.88/4.0

Generative AI, Computer Vision, Deep Learning, LLMs, MLOps

2017 - 2021

B.E. (Hons.) in Information Technology

PES Modern College of Engineering

Specialization in Artificial Intelligence & Machine Learning

About Me

Shreya Boyane

Shreya Boyane

AI/ML Engineer

Greater Boston, MA

I'm a Machine Learning Engineer with 3+ years of DevOps experience, currently pursuing my M.S. in Artificial Intelligence at Worcester Polytechnic Institute.

I specialize in building production-grade Agentic AI workflows, adaptive LLM systems, and Generative AI solutions. My work spans from multi-agent document intelligence systems to real-time computer vision applications.

When I'm not training models or debugging pipelines, you'll find me exploring the latest in AI research and figuring out how to make machines a little smarter and a lot more useful.

Email

shreyaa.boyane@gmail.com

Schedule a Call

Book a 30-min meeting

Find me on

GitHubLinkedInGoogle DevDev.toORCIDsonica0218

What Drives Me

Turning research papers into production systems
Making AI that actually helps people
Optimizing everything, from code to coffee