Hariom Aggarwal

Results-driven Data Scientist & ML Engineer with hands-on experience in biomedical AI, deep learning, and signal processing. Proven track record building CNN/LSTM models for medical image analysis, ECG/EEG diagnostics, and real-time vital sign monitoring. Skilled in Python, PyTorch, TensorFlow, and OpenCV, with domain expertise in biomedical instrumentation.

Junior Data Scientist – AI Healthcare Solutions at MediTech Innovations Pvt. Ltd. (2024-01 – 2024-07)

• Led cross-functional team to build CNN models (PyTorch/TensorFlow) for MRI/CT tumor segmentation, achieving 92% accuracy; integrated OpenCV preprocessing pipelines including noise reduction and augmentation.
• Deployed EEG signal processing algorithms (SciPy/NumPy) with clinicians, cutting diagnostic time by 40%; built Power BI dashboards for model predictions and mentored junior engineers on Pandas & Scikit-learn.

Data Scientist Trainee – Biomedical AI Research at HealthAI Dynamics (2023-06 – 2023-09)

• Built end-to-end Keras/TensorFlow pipelines for cardiovascular disease prediction from echocardiograms and ECG signals across 50,000+ samples; applied OpenCV feature extraction and C++ Fourier transforms.
• Achieved 25% F1-score uplift via Scikit-learn hyperparameter tuning; contributed React/HTML/CSS/JS prototype interfaces and ensured healthcare data compliance in Pandas/NumPy data pipelines.

ML Engineer Trainee – Signal & Image Analytics at BioCompute Systems (2021-08 – 2021-09)

• Engineered real-time vital-sign monitoring using custom LSTM models (PyTorch) on wearable sensor data combined with DSP methods; reduced computational overhead by 35% through optimized data structures.
• Processed biomedical X-ray images with OpenCV/DL frameworks; built web-based analytics platform (React/JS) and produced research visualizations with Seaborn, Matplotlib, and Power BI.

Junior Data Scientist – AI for Precision Medicine at Nexus Informatics Ltd. (2021-01 – 2021-06)

• Implemented transfer learning (TensorFlow/Keras) on pre-trained architectures for histopathology multi-class classification; applied OpenCV augmentation/segmentation and Scikit-learn baseline comparisons.
• Developed Power BI dashboards for clinical trial metrics and contributed responsive web interfaces (HTML/CSS/JS/React) with C++ low-level image optimizations.

M.Tech in BioMedical Engineering – DCRUST, Murthal (2024 – 2026)

B.Tech in BioMedical Engineering – DCRUST, Murthal (2021 – 2024)

Diploma in Medical Electronics – Govt. Polytechnic, Hisar (2018 – 2021)