Aditya MishraNew Delhi, India
New Delhi, India

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.

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01

Languages

Python, SQL, MATLAB, Java

02

Machine Learning

TensorFlow, Keras, scikit-learn, XGBoost, SHAP, OpenCV

03

Deployment & IoT

FastAPI, Streamlit, Raspberry Pi, MQTT

About

Education, experience, leadership, and technical foundations.

B. Tech, Instrumentation & Control Engineering (CGPA: 7.4) at Netaji Subhas University of Technology (2023-2027), after Senior Secondary (CBSE) at The Mother's International School (Graduated 2022).

Education

B. Tech, Instrumentation & Control Engineering

Netaji Subhas University of Technology | 2023-2027 | CGPA: 7.4

Senior Secondary (CBSE)

The Mother's International School | Graduated 2022

DUSQ (formerly InnerGize)

ML Engineer Intern

Nov 2025-Present
  • 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.

Indian Meteorological Department

ML-IoT Intern

Jun 2025 - Jul 2025
  • 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.

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

Leadership & Awards

IEEE NSUT Student Branch

Chairperson

Jun 2025- Present

  • Convened 2 national-level hackathons with 6,000+ total participants and 1,200+ offline attendees.
  • Led cross-functional teams across technical, logistics, sponsorship, and outreach verticals.
  • Coordinated with senior government stakeholders including Deputy CM's office and MCD officials.

Publications

A Bayesian-Tuned LSTM Approach to State of Charge Forecasting in Electric Vehicle Batteries

IEEE SEFET 2025 | Accepted.

Awards & Certifications

  • IBM Data Science Professional Certificate
  • Lala Ram Kishan Das Jain Memorial Award for Initiative (2022)

Life & Leadership

Snapshots from IEEE leadership, IMD work, and forecasting research.

This gallery highlights IEEE NSUT Student Branch leadership, the IMD internship, StockVision development, and EV battery SoC forecasting research.

The captions align with current resume milestones across leadership, internships, and forecasting projects.

Chairperson responsibilities at IEEE NSUT Student Branch

Leading IEEE NSUT Student Branch initiatives as Chairperson from Jun 2025-Present.

Projects

Projects in forecasting, explainability, and real-time inference.

Current project work spans EV battery state-of-charge forecasting and StockVision, an end-to-end stock forecasting platform with FastAPI, Streamlit, and SHAP.

Project

EV Battery State-of-Charge Forecasting & Real-Time Inference

May 2024 - Present

  • Developed a Bayesian-optimized LSTM model for EV battery SoC prediction using 70 real-world driving sessions.
  • Achieved MAE of 3.66, outperforming prior research benchmarks (4.28-6.5).
  • Engineered a real-time inference pipeline using pre-trained Keras models for continuous SoC monitoring.
  • Integrated SHAP-based explainability to analyze feature contributions in battery behavior.
LSTMKerasBayesian OptimizationSHAP

Project

StockVision: Real-Time Stock Forecasting Platform

  • Built end-to-end LSTM forecasting system using technical candlestick features.
  • Deployed Streamlit + FastAPI dashboard with SHAP-based model explainability.
LSTMFastAPIStreamlitSHAP

Publication Highlight

A Bayesian-Tuned LSTM Approach to State of Charge Forecasting in Electric Vehicle Batteries

IEEE SEFET 2025

Accepted.

Accepted

Blog

Structured writing for technical notes and project breakdowns.

Posts are sourced from local JSON files, so the reading experience stays predictable while the content model remains explicit and type-safe.

Browse all posts

Resume

Education, internships, publications, and certifications.

The resume page summarizes current academics at NSUT, ML internship work, IEEE leadership, and accepted publication details.

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

Highlights

A Bayesian-Tuned LSTM Approach to State of Charge Forecasting in Electric Vehicle Batteries | IEEE SEFET 2025 | Accepted.

IBM Data Science Professional Certificate | Lala Ram Kishan Das Jain Memorial Award for Initiative (2022)

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