SG

Sangam Ganesh Babu

AI Researcher & Full-Stack Developer

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PROFESSIONAL EXPERIENCE

Research &
Development Arc

Professional progression from systems engineering toward research-focused machine learning. Current focus reflects intentional trajectory toward PhD-level research in probabilistic AI and statistical foundations.

Research Fellow – Machine Learning & Statistical Modeling

Amrita Vishwa Vidyapeetham

Research Value

Integrates classical statistical inference with modern deep learning architectures. Emphasizes uncertainty-aware modeling for interpretable, deployable AI systems grounded in statistical rigor.

Cybersecurity & Systems Architecture

Rinex Technologies Pvt. Ltd. & Hipla Technologies

Research Value

Applied security principles to system-level threat modeling and mitigation—applicable to robust, adversarial-resistant AI systems.

Statistical Subject Matter Expert

Chegg India Pvt. Ltd.

Research Value

Deepened statistical foundations and technical communication—essential for research publication and knowledge transfer.

Career Trajectory: Systematic progression from full-stack systems development toward research-focused machine learning and probabilistic modeling. Early experience in security architecture and systems design established foundational understanding of computational constraints, scalability requirements, and principled engineering practices. Current focus on healthcare AI and uncertainty quantification represents intentional transition toward PhD-level research. Production experience directly informs research priorities: deployed systems must be reproducible, computationally efficient, and rigorously validated.

PROJECT PORTFOLIO

Technical
Systems & Implementations

CO2Wounds-V2: Digital Twin in Healthcare

Deep learning system for automated wound detection, segmentation, and classification with clinical decision support.

Technologies

VGG-19InceptionV3StreamlitPythonReal-time Analysis

Real-time wound analysis with treatment recommendations for clinical and remote settings

Pick and Place Object Detection Robot

Modular robotic pipeline integrating perception, planning, and actuation with real-time object detection and feedback control.

Technologies

ROS2 HumbleOpenCVGazeboPythonPath Planning

End-to-end system combining perception and actuation with sub-100ms latency

Deep Q-Learning Agent for Traffic Signal Control

Reinforcement learning model optimizing traffic signal timings with custom simulation environment and policy evaluation.

Technologies

Deep Q-LearningOpenAI GymTensorFlowPythonCustom Environments

15-20% improvement in traffic flow over traditional fixed-timing systems

Password Hashing with SHA-256

Secure login system with multi-layer defense against SQL injection, XSS, and unauthorized access.

Technologies

SHA-256SQL Injection PreventionParameterized QueriesInput ValidationXSS Protection

Defense-in-depth architecture with proven security audit compliance

Android-Based Social Networking Application

Secure social networking platform for Amrita University with encrypted REST APIs and optimized mobile architecture.

Technologies

AndroidJetpackAES-256 EncryptionREST APIsJVM Optimization

Modular architecture with <50MB memory footprint on resource-constrained devices

Taxi Service Analysis

Full data pipeline for trip data cleaning, analysis, and visualization with trend discovery and pattern identification.

Technologies

PandasMatplotlibJupyterStreamlitPython

Data-driven insights into pickup patterns, fares, and passenger behavior

Computing Systems (Nand2Tetris)

Low-level system design implementing complete computing stack from HDL gates through virtual machine architecture.

Technologies

HDLCPU DesignALUMemory ArchitectureVirtual Machine

Foundational understanding of computing abstraction layers and systems design