Engineering Manager at Iterate.ai, leading a 12-engineer cross-functional organization across frontend, backend, DevOps, and AI/ML, including senior tech leads and project managers. I drive engineering for Generate — Iterate.ai's flagship enterprise AI platform — across cloud, on-prem, and edge deployments, with partnerships spanning IBM, Intel, AMD, and HP.
Generate won the Pinnacle AI Product of the Year 2025 and TMC Generative AI Product of the Year 2025, and Iterate.ai was named to the CRN AI 100 (Top 20 Hottest AI Software Companies, 2026). Recent work includes launching Generate for healthcare revenue recovery via an IBM reseller partnership with Hutchinson Regional Healthcare, featured in IBM's product blog.
Areas of interest: AI-Driven Solution Architecture, Scalable System Design, Intelligent Agents & Automation, Large Language Models, Retrieval-Augmented Generation, Document AI & Intelligence, Edge Computing & Optimization.
Iterate.ai via Rippling Canada Services Inc. — Toronto, ON
Lead a 12-engineer cross-functional organization spanning frontend, backend, DevOps, and AI/ML; scaled the team from 6, led 6 hires, promoted 2 ICs to Senior Applied AI Engineer, and mentored 4 engineers plus 3 interns.
Drive engineering execution for Generate, Iterate.ai's flagship AI platform — winner of Pinnacle AI Product of the Year 2025 and TMC Generative AI Product of the Year 2025, with Iterate.ai named to the CRN AI 100 (Top 20 Hottest AI Software Companies, 2026).
Own end-to-end architecture across cloud, on-prem, and edge (AWS, IBM Cloud, Intel/AMD/NVIDIA), enabling both SaaS and air-gapped enterprise deployments.
Joined as engineering manager on a direct contract; took ownership of a 5-engineer cross-functional team and defined the engineering roadmap that scaled Generate into Iterate.ai's primary enterprise revenue product.
Set technical strategy, architecture standards, and development practices in collaboration with the CTO and product leadership; established the engineering operating model later inherited by the full-time team.
Architected an event-driven microservices platform (Kafka, FastAPI, LangGraph) supporting high-throughput AI workloads across SaaS and air-gapped enterprise deployments.
Led a 5-engineer team for Project Generate, an edge-deployed AI for private document search on Intel AI PCs, shipping through the Intel Software Advantage Program.
Architected an Outlook RAG plugin for email automation; presented at the Intel Vision 2024 keynote.
Developed a novel table extraction system using Non-Maximum Suppression with Vision Language Models; filed US Patent App. No. 18/590,347.
Designed and deployed a newspaper digitization service for historical documents with automated pipelines for article separation, metadata extraction, and OCR text processing.
Built a multilingual translation layer over the OCR pipeline, normalizing Tamil, Sinhala, and English content for downstream classification and search.
Architected cloud deployment on AWS with Docker and Kubernetes (EC2, Lambda, S3, RDS) supporting large-scale data volumes.
Engineering Intern (Machine Learning)
Aug 2022 – Jan 2023
Simplyfai, Inc. — Sri Lanka (Remote)
Analyzed acoustic and time-series sensor data from rotating machinery (gearboxes, wheels, fans, valves, belts) to identify fault signatures; built Python fault-classification models wired into the diagnostic product pipeline.
Implemented an anomaly detection system for industrial equipment, supporting predictive maintenance and reducing unplanned downtime.
Collaborated with professors and graduate researchers across India and Ireland to build a large-scale Tamil emotion detection dataset (30+ classes, 60,000+ annotated sentences) for a public shared task.
Co-organized the Dravidian-CodeMix-FIRE 2021 shared task on sentiment analysis for low-resource Dravidian languages.
Deep Neural Networks (CS3630) — Graded quizzes and assignments.
Education
Master of Applied Science (MASc)
Sep 2023 – Apr 2025
Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada
Thesis:SciRAG: A Retrieval-Focused Fine-Tuning Strategy for Scientific Documents — RAG framework for scientific PDFs with custom LaTeX-equation parsing and domain-adapted LLM fine-tuning.
Thesis:Entity Extraction System for Legal Contracts — party extraction using contextualized span representations on a 1,000-contract annotated dataset.
Publications (215+ citations)
Patents
Language Independent Textual Extraction Filed
B Sathianathan, C Vasantharajan, S Jacob · US Patent App. No. 18/590,347 · February 2024
High-precision table extraction using Non-maximum Suppression and Vision Language Models. Assignee: Iterate Studio, Inc.
Generating AI Workflows Filed
B Sathianathan, C Vasantharajan · US Patent Application · October 2025
Automated workflow generation and orchestration for multi-agent AI platforms. Assignee: Iterate Studio, Inc.
Creating AI Agents and Routes Filed
B Sathianathan, C Vasantharajan · US Patent Application · October 2025
Dynamic agent creation and intelligent routing for enterprise AI applications. Assignee: Iterate Studio, Inc.
Awards
CRN AI 100 — Top 20 Hottest AI Software Companies
2026
Iterate.ai named to CRN's AI 100 list of the 20 Hottest AI Software Companies.
Pinnacle Awards — AI Product of the Year
2025
Generate recognized as AI Product of the Year by the Pinnacle Awards.
TMC & genaitoday.ai — Generative AI Product of the Year
2025
Generate selected as Generative AI Product of the Year.