SUJAY SANTANU MOHANTY

Product Engineer

Bhubaneswar, Odisha, India2 yrs 11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Led multiple AI/ML projects with real-world impact.
Strong leadership and team management experience.
Passionate about AI and machine learning innovations.

Stackforce AI infers this person is a Machine Learning Engineer with a focus on AI-driven solutions and computer vision applications.

Contact

Skills

Core Skills

Deep LearningMachine LearningComputer Vision

Other Skills

Public SpeakingManagementTeam LeadershipOpenCVTensorFlowObject DetectionImage ClassificationTeachingProject PlanningApplied Machine LearningYOLOCNNData PreprocessingProject ManagementTeamwork

About

I am an Artificial Intelligence and Machine Learning enthusiast with a a growing interest in Python and an ever-growing passion for building intelligent, real-world solutions. Currently pursuing my B.Tech at GIET University, I enjoy exploring the intersection of technology, logic, and creativity. Beyond academics, I bring proven leadership and team management experience, having coordinated teams and delivered results under pressure. As an Inter-district level debate champion, I possess strong communication, analytical thinking, and public-speaking skills allowing me to articulate complex ideas with clarity and confidence. I also have hands-on experience as a game tester, where attention to detail, problem-solving, and user-centric thinking are key. I constantly seek opportunities to learn, experiment, and collaborate on innovative projects in AI, ML, and emerging technologies. Actively looking to connect, collaborate, and grow with like-minded professionals, mentors, and innovators.

Experience

2 yrs 11 mos

Total Experience

2 yrs 8 mos

Average Tenure

2 yrs 1 mo

Current Experience

United latino students association

AI-ML INTERN

Jan 2026 – Mar 2026 · 2 mos · Gunupur, Odisha, India · Remote

Completed a 10-week AI-ML Virtual Internship (Jan–Mar 2026) by EduSkills in collaboration with AICTE and Google for Developers
Built and trained neural networks using TensorFlow, covering data preprocessing, model training, and evaluation
Worked on object detection and image classification tasks using deep learning techniques
Developed basic product image search systems using visual feature extraction
Strengthened understanding of deep learning concepts, including CNNs and model optimization
Gained hands-on experience in computer vision applications and real-world problem solving
Prepared for roles such as ML Engineer, Deep Learning Engineer, and AI Researcher

Deep LearningOpenCVMachine Learning

Yobytech automation private limited

Machine Learning Engineer

May 2025 – Jul 2025 · 2 mos · Bhubaneswar, Odisha, India

Led four AI/ML projects, including a computer vision–based road safety helmet detection system, Plant disease predictor, Water Flow system time based, Stock and baggage counter, developed using YOLO object detection, CNN architectures, and TensorFlow, along with three innovation-driven proof-of-concept projects aligned with organizational R&D goals.
Designed and implemented an end-to-end machine learning pipeline from scratch, covering data collection, annotation, preprocessing, feature engineering, model training, validation, and optimization.
Developed and fine-tuned convolutional neural network models to enable reliable real-time object detection for practical road safety applications.
Deployed the solution in a secure production environment, where the model is currently live and actively used by the organization.
Served as team lead, managing task allocation, coordinating model iterations, and ensuring timely project delivery through effective collaboration.
Received formal appreciation from Yo-Bytech Limited for technical competence, leadership, and strong project ownership.
Collaborated with senior AI/ML mentors and industry professionals, gaining exposure to production-grade machine learning workflows and best practices.
Technical Skills:
Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, YOLO, CNN, TensorFlow, Object Detection, Python, OpenCV, Data Preprocessing, Feature Engineering, Model Training and Evaluation, ML Deployment, Real-Time AI Systems, Team Leadership.

Project PlanningApplied Machine LearningMachine LearningComputer Vision

Paradeep phosphates

Student AI&ML Intern

Apr 2025 – Jun 2025 · 2 mos · Bhubaneswar, Odisha, India · On-site

AI/ML Intern | Machine Learning Project Lead
Yo-Bytech Limited | PPL
Led four AI/ML projects, including a computer vision–based road safety helmet detection system developed using YOLO object detection, CNN architectures, and TensorFlow, along with three innovation-driven proof-of-concept projects aligned with organizational R&D goals.
Designed and implemented an end-to-end machine learning pipeline from scratch, covering data collection, annotation, preprocessing, feature engineering, model training, validation, and optimization.
Developed and fine-tuned convolutional neural network models to enable reliable real-time object detection for practical road safety applications.
Deployed the solution in a secure production environment, where the model is currently live and actively used by the organization.
Served as team lead, managing task allocation, coordinating model iterations, and ensuring timely project delivery through effective collaboration.
Received formal appreciation from Yo-Bytech Limited for technical competence, leadership, and strong project ownership.
Collaborated with senior AI/ML mentors and industry professionals, gaining exposure to production-grade machine learning workflows and best practices.
Technical Skills:
Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, YOLO, CNN, TensorFlow, Object Detection, Python, OpenCV, Data Preprocessing, Feature Engineering, Model Training and Evaluation, ML Deployment, Real-Time AI Systems, Team Leadership.