Hi, I'm
Gayathri
Suresh
I build end-to-end AI systems and ship them directly to users, from data ingestion to conversational interfaces.
MS @ Northeastern University · Previously @ Humatics Corporation · San Francisco, CA
Featured Projects
End-to-end AI and data platforms spanning legal document intelligence, e-commerce operations, and healthcare analytics, each built with production-grade architecture, real users, and measurable outcomes.
Building AI systems that
users depend on
I'm a Forward Deployed Engineer based in San Francisco. I build AI-powered systems end to end and deploy them directly to the people who use them.
Most recently, I built a production clinical voice agent with real phone integration - patients call a Twilio number, and multi-agent orchestration handles intake, triage, and scheduling with streaming FHIR output and emotion-aware severity detection.
At Humatics Corporation, I was embedded on the Mobility team, joining weekly client calls with NJ Transit to gather requirements and iterate on deliverables. I built trip analytics pipelines, a graph-based coordinate mapping system across 77 track segments, and automated track geometry analysis against federal safety standards.
I've also built a multi-hop RAG pipeline over real SEC EDGAR contracts with 9 versions of metric-driven iteration, and a real-time streaming platform with a conversational AI agent that lets non-technical users query the entire system in natural language.
Sep 2023 – Dec 2025
Northeastern University
Master of Science in Electrical and Computer Engineering
GPA: 3.76
Jun 2019 – May 2023
Sri Sivasubramaniya Nadar College of Engineering
Bachelor of Engineering in Electronics and Communication
GPA: 8.84 / 10.0
Core Technologies
Experience
Associate Information Systems Engineer
Humatics Corporation
Jun 2024 – Dec 2024 · Jun 2025 – Aug 2025
Waltham, MA
- ▸Embedded engineer on Mobility team, joining weekly client calls with NJ Transit to gather requirements, present analytics, and iterate on deliverables, translating between rail operations needs and technical implementation
- ▸Owned trip analytics pipeline including segmentation, ATP classification, stop detection, and dwell/travel time computation, processing parquet sensor data in Python/pandas to deliver operational metrics directly to transit agency stakeholders
Teaching Assistant - Neural Networks & Deep Learning
Northeastern University
Summer 2024
San Francisco, CA
- ▸Mentored 25–30 students through a rigorous deep learning curriculum with weekly office hours and one-on-one guidance on ML concepts, model implementation, and debugging
- ▸Graded assignments and final projects, providing structured written feedback to strengthen understanding of neural architectures and training practices
Data Engineering Intern
Datator Information Technology
Oct 2022 – Mar 2023
Chennai, India (Remote)
- ▸Engineered data collection pipeline using PCAPDroid and Wireshark, processing network traffic into structured CSV for downstream ML analysis
- ▸Built ETL workflow extracting 28 time-series and flow-based features from raw packets using CICFlowMeter, producing analysis-ready datasets for security classification
Data Processing Intern
Resileo Labs
Jul 2022 – Oct 2022
Chennai, India (Remote)
- ▸Built medical image processing pipeline for CT scans and thermal images, standardizing formats and resolutions for autoencoder model training
- ▸Implemented data augmentation workflows (rotation, scaling, noise injection, brightness) expanding training dataset for improved model generalization
Technical Skills
AI & LLM Systems
Voice AI & Real-Time
Frontend & APIs
Streaming & Orchestration
Databases & Warehouses
Cloud & Infrastructure
Data Modeling & Quality
Statistical Analysis
Programming
Analytics & BI
Let's build something
together
I'm looking for Forward Deployed Engineer and AI Engineer roles at startups where I can own problems end to end and ship directly to customers.
San Francisco, CA