Brijesh Nanda B Y

Product Manager

Columbus, Ohio, United States3 yrs 8 mos experience

Key Highlights

Expert in AI/ML with a focus on Computer Vision.
Proven track record in optimizing complex workflows.
Strong backend development skills with Java and AWS.

Stackforce AI infers this person is a Full-Stack Engineer with expertise in AI/ML and SaaS solutions.

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Skills

Core Skills

Computer VisionMlopsApi DevelopmentFull-stack DevelopmentDistributed Systems

Other Skills

Object DetectionJavaScriptAmazon S3Amazon KinesisAmazon DynamoDBObject segmentationHigh Performance Computing (HPC)YOLONeural NetworksTransformersCascading Style Sheets (CSS)HTMLLinuxSecure Shell (SSH)React.js

About

Full Stack Engineer (4 Years Exp) | Computer Vision Researcher | MS CS Candidate I am an experienced Software Engineer transitioning into AI/ML, combining a strong background in backend systems (Java/AWS) with advanced research in Computer Vision. Current Focus (Graduate Researcher @ OSU): Auto-Labeling Pipelines: Building human-in-the-loop workflows using Foundation Models (SAM3, T-Rex) to reduce annotation costs. Medical AI: Developing segmentation models for dental diagnostics (AlphaDent). MLOps: Orchestrating complex ML workflows and resource allocation. Professional Background: Avis Budget Group: Designed microservices for 10k+ daily transactions; optimized billing pipelines reducing manual errors by 85%. Dassault Systèmes: Architected an Enterprise Message Bus processing 1M+ daily messages; built no-code workflow engines reducing dev time by 40%. Technical Toolkit: Languages: Java, Python, C++, TypeScript AI/ML: PyTorch, TensorFlow, OpenCV, HuggingFace, YOLO Cloud: AWS (EC2, Lambda, SQS, Kinesis), Docker, Kubernetes

Experience

3 yrs 8 mos

Total Experience

Average Tenure

Current Experience

Icicle.ai

Graduate Research Associate

Aug 2025 – Present · 10 mos · Columbus, Ohio, United States · Hybrid

Auto-Labeling Pipeline: Architected an end-to-end ML pipeline to democratize object detection, eliminating the need for coding expertise by integrating a drag-and-drop interface with SAM3 for one-click segmentation.
Foundation Models: Implemented few-shot and zero-shot learning using OWL-v2 and DINO-v3 to enable rapid annotation of new object classes in animal ecology and digital agriculture with minimal training data.
Video Tracking: Implemented continuous frame annotation for video datasets using visual prompting models like T-Rex to streamline object tracking across temporal sequences.
MLOps & Orchestration: Built an intelligent job orchestration system to optimize resource allocation for complex ML workflows, featuring visualization tools for real-time IOU score analysis.

Computer VisionObject DetectionMLOps

Avis budget group

Senior Software Engineer

Jul 2023 – Jul 2024 · 1 yr · India · Hybrid

Developed a web-based platform for rental agents to streamline the end-to-end car rental process, including rental processing, fleet management, insurance handling, payments, returns, and damage assessment. This solution replaced manual workflows, reducing processing time and improving operational efficiency across multiple rental locations.
Developed backend services to deliver batch information on company vehicles and billing details to SiriusXM and toll authorities, enabling seamless toll passage and uninterrupted fleet service. Additionally, the system facilitated the automated billing of traffic violations and toll charges to the relevant customers, streamlining payment processing and compliance.

API DevelopmentJavaScriptFull-Stack Development

Dassault systèmes

2 roles

Software Engineering Specialist

Promoted

Apr 2022 – Jul 2023 · 1 yr 3 mos · India · Hybrid

Developed a configurable, scalable, and reusable workflow engine for a SaaS platform, enabling client workflow on-boarding with minimal operations in a web application. This allows drag and drop creation of entire business workflows instead of the need for companies to program products from scratch. Orchestrated a cluster of micro-services to optimize flexibility, ease, and speed of workflow operations, reducing development time by 60%, streamlining on-boarding for new clients, and allowing the product to scale across multiple large organizations.
Developed the Donor Management System, a web application to manage plasma donors, payments, and clinical data. Implemented features for payment tracking and equipment management, streamlining operations and improving accuracy in handling samples and tests. This system enhanced workflow efficiency and ensured compliance with health and safety standards.

Distributed SystemsAPI Development

Software Engineering Associate

Oct 2020 – Mar 2022 · 1 yr 5 mos · India · Hybrid

• Engineered an Enterprise Message Bus a data streaming platform leveraging AWS (Kinesis, SQS, S3, DynamoDB) to streamline data channels, reduce the need for multiple coordinated API calls from all servers across the product, and bolster reliability with automatic retries, achieving a 40% reduction in API development time and enabling faster, scalable, and more cost-effective data communication solutions.

API DevelopmentJavaScript