Publication
A Bayesian-Tuned LSTM Approach to State of Charge Forecasting in Electric Vehicle Batteries
IEEE SEFET 2025 | Accepted.
Resume
Aditya Mishra
B. Tech, Instrumentation & Control Engineering at Netaji Subhas University of Technology (2023-2027), focused on machine learning, computer vision, and real-time inference systems.
Snapshot
New Delhi, India
B. Tech, Instrumentation & Control Engineering at Netaji Subhas University of Technology (2023-2027) | CGPA: 7.4
ML Engineer Intern at DUSQ (formerly InnerGize) | Nov 2025-Present
Chairperson, IEEE NSUT Student Branch | Jun 2025- Present
Core Skills
Languages
Python, SQL, MATLAB, Java
Machine Learning
TensorFlow, Keras, scikit-learn, XGBoost, SHAP, OpenCV
CV & Deployment
FastAPI, Streamlit, Time-Series Forecasting, Computer Vision
Hardware & IoT
Raspberry Pi, MQTT
Tools
Git, VS Code, Jupyter
Awards & Certifications
- IBM Data Science Professional Certificate
- Lala Ram Kishan Das Jain Memorial Award for Initiative (2022)
ML Engineer Intern
DUSQ (formerly InnerGize)- Cut end-to-end inference latency by 88.9% (7.7 s to 0.86 s) and 9x throughput via parallel and async execution.
- Built a 27-keypoint placement API with visibility-aware training for robust side-view guidance at sub-second speeds.
- Optimised preprocessing to 26 ms mean latency (64% faster; P99 37 ms, -66%), then packaged low-latency pipelines for production.
ML-IoT Intern
Indian Meteorological Department- Automated thermometer readings using a Raspberry Pi vision system and OpenCV pipeline.
- Trained models on a custom dataset of 1000+ images captured across diverse weather conditions.
- Implemented MQTT-based real-time transmission enabling low-latency environmental monitoring.