Harsh Sahu

Product Engineer

Chennai, Tamil Nadu, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

8 x Hackathon Winner
Published Researcher in AI Systems
Top 1% in TCS CodeVita

Stackforce AI infers this person is a Full-Stack Engineer with expertise in AI and Data Science across EdTech and Healthcare.

Contact

Skills

Core Skills

AiFull-stack EngineeringBackend DevelopmentData ScienceMachine LearningComputer VisionMobile Development

Other Skills

Python (Programming Language)PostgreSQLSpring BootJava Database Connectivity (JDBC)FlutterArtificial Intelligence (AI)Natural Language Processing (NLP)Performance DashboardsTensorFlowExtract, Transform, Load (ETL)Amazon Web Services (AWS)JavaSoftware DevelopmentMobile Applications

About

I’m an AI + Full-Stack Engineer specializing in building intelligent, scalable, and production-ready systems across networking, fintech, and enterprise applications. With a 400+ day LeetCode streak and 1000+ problems solved, I bring strong algorithmic thinking to every engineering problem I tackle. With experience across Kalvium, Rento, Zidio, and international research at National Chung Cheng University (Taiwan), I work at the intersection of AI, distributed systems, network intelligence, and real-world product engineering. Key Highlights: Winner – ITU 6G Hackathon (2025) First Prize – HackTrax(Google developer club) ,Layers 3.0(Atos) & Buildathon 3.0(United Nations) Published Research – Real-Time Accident and anomaly detection in native ai systems Global Ranks – TCS CodeVita (Top 1%), Meta Hacker Cup (Top 2000) Strong foundation in Data Science (CGPA: 9.6) My work includes: AI-Native & Agentic Systems for 6G network optimization using RL + LLM agents End-to-end Full-Stack Engineering with React, Node, Express, PostgreSQL, Docker, Kubernetes ML & Deep Learning systems for fraud detection, predictive modelling, and risk analysis Blockchain-based data security platforms with Solidity smart contracts & IPFS Cloud-native architectures on AWS/GCP with CI/CD and microservices I love solving complex system problems—whether it’s network resource optimization, AI-driven decision pipelines, blockchain security, or scalable full-stack systems. Always excited to collaborate, innovate, and build meaningful products. Let’s connect—always open to ideas, new innovations, and impactful opportunities.

Experience

Kalvium

Project Engineer

May 2025 – Sep 2025 · 4 mos · Bengaluru, Karnataka, India

Developing a scalable AI-powered EdTech platform used by multiple users for educational content generation, teaching, and learning analytics.
Designed and implemented RESTful APIs and microservices to handle multi-user interactions, content delivery, and AI model endpoints, ensuring robust, real-time system performance.
Integrated AI-driven features for automated content creation, personalized learning recommendations, and interactive teaching modules.
Leveraging Revolutionary AI models for intelligent tutoring, assessment automation, and dynamic content suggestions.

Python (Programming Language)PostgreSQLAIFull-Stack Engineering

Rento india

Founding Software Engineer Intern

Jan 2025 – May 2025 · 4 mos · Chennai · On-site

Developed a scalable backend service using Java Spring Boot to support iOS, Android, and web platforms, ensuring high performance and seamless cross-platform integration.
Integrated AI-powered features for image recognition, classification, and content analysis, enhancing platform intelligence and automation.
Architected the system to be future-ready for e-commerce capabilities, including dynamic property listings, secure transactions, and advanced search functionality.
Designed and implemented RESTful APIs, database schemas, and authentication systems to ensure secure and efficient data flow.
Collaborated in Agile sprints, optimizing backend performance and delivering a robust, scalable platform ready for multi-platform adoption.

Spring BootJava Database Connectivity (JDBC)Backend DevelopmentAI

Zidio development

Data Science Intern

Jun 2024 – Dec 2024 · 6 mos · Chennai, Tamil Nadu, India · Remote

Developed predictive risk assessment models using Python, Scikit-learn, and Flask APIs, enabling proactive customer risk management and personalized engagement strategies.
Led customer-focused data projects, analyzing usage patterns, segmenting clients, and delivering actionable recommendations that enhanced client satisfaction and retention.
Optimized backend ETL pipelines and automated workflows, integrating data-driven insights directly into enterprise systems to support business decision-making.
Containerized models with Docker and deployed them into production microservices for scalable, reliable customer analytics solutions.

Python (Programming Language)Data ScienceMachine Learning

National chung cheng university

Data Science Intern

Jan 2024 – Jun 2024 · 5 mos · Remote

Developed AI-driven computer vision systems for fraud detection, posture recognition, and motion classification using TensorFlow, PyTorch, and OpenCV, achieving 92% accuracy across test datasets.
Designed and trained deep learning models for human motion identification, including real-time detection and classification for behavioral analytics and security monitoring.
Conducted applied research and experiments on CNN architectures, data augmentation, and model optimization for edge deployment.
Published findings at conferences and collaborated with global research teams using Git, CI/CD, and Agile workflows for reproducible AI research.

Data SciencePython (Programming Language)AIComputer Vision

Srm global hospitals

Software Engineer

Jan 2023 – Dec 2023 · 11 mos · Chennai, Tamil Nadu, India · On-site

Designed and developed a cross-platform Android application using Flutter and Firebase for secure patient data management, appointment tracking, and hospital operations.
Implemented HIPAA-compliant workflows and backend APIs enabling real-time hospital analytics and secure cloud data exchange.
Applied data science techniques using Python and SQL to build automated dashboards and predictive insights for financial and operational metrics, improving efficiency by 30%.
Integrated machine learning models for basic trend forecasting and performance monitoring, enhancing decision-making accuracy.
App live on Google Play Store

Data ScienceFlutterMobile Development