Available for Internships

Hi, I'm
Neelay Jain

Bridging the gap between Mechanical Systems and Artificial Intelligence.I transform first principles into data-driven prototypes, specializing in CAD, FEA, and Computer Vision.

Neelay Jain

Experience

Production Engineering Intern

Larsen & Toubro

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Worked on heavy-lift fixture validation and additive manufacturing research for aerospace components. Analyzed materials like Ti-6Al-4V and Inconel 718 for microstructure and anisotropy.

Key Impact

Validated 450 MT lifting fixture & designed 24 MT deck fixture (SF > 1.5)
Applied DFM & GD&T for shop-floor integration
Reviewed AM technologies (SLM, DED) for aerospace applications

Leadership

President — I-MECH, PDEU

President — I-MECH, PDEU

Led a team to organize technical events, workshops, and industry visits. Revamped initiatives to boost student participation.

Featured
Innovation

Deep dives into complex engineering problems solved with code, data, and design.

Cross-Axis Wind Turbine (CAWT)
Hardware

Est. Output

500W

Renewable Energy · Hardware Prototype

Cross-Axis Wind Turbine (CAWT)

Designed and prototyped a high-efficiency wind turbine optimized for urban environments. Utilized a hybrid configuration with 3 vertical and 6 horizontal 3D-printed PETG blades and a 5:1 planetary gearbox.

Aerodynamics
Planetary Gearbox
3D Printing
GSLV MkIII Trajectory Simulation
Simulation

Altitude

180 km

Aerospace · MATLAB · Flight Dynamics

GSLV MkIII Trajectory Simulation

Modeled the trajectory of a 3-stage launch vehicle (S200, L110, CE-20), analyzing complex forces including variable thrust, aerodynamic drag, and gravity losses to predict orbital injection parameters.

Orbital Mech
MATLAB
Physics Sim
Industrial Bearing Fault Detection
AI Vision

Accuracy

99.83%

Computer Vision · CNN · Predictive Maint.

Industrial Bearing Fault Detection

A deep learning solution capable of classifying 6 different bearing conditions from thermal images with 99.83% accuracy. Implements data augmentation to handle industrial environments.

TensorFlow
Thermal Img
Python
SPECTRA — Exoplanet Detection
Web App

Predictions

Real-time

NASA Space Apps · Full Stack · XGBoost

SPECTRA — Exoplanet Detection

Web app built for International NASA Space Apps Challenge that processes Kepler mission data to classify celestial objects. Features a React frontend and Flask API backend.

React
Flask API
XGBoost
F1 Race Strategy Predictor
ML Model

Mean Error

0.83

Analytics · XGBoost · Optuna

F1 Race Strategy Predictor

Machine learning pipeline optimizing F1 race strategies using historical data (2018-2024). Used Optuna for hyperparameter tuning to minimize MAE to 0.83 for position prediction.

XGBoost
Optuna
Streamlit
Casting Defect Detection
QC System

Inference

45 FPS

Quality Control · MobileNetV2

Casting Defect Detection

Automated quality inspection system using Transfer Learning (MobileNetV2). Achieved ~88% accuracy in classifying casting defects, optimized for real-time shop floor inference.

MobileNetV2
Transfer Learning
Quality Control

Skills & Tools

Mechanical design, simulation, and AI integration.

Mechanical & Simulation

SolidWorksSiemens NXSolid EdgeANSYS WorkbenchFusion 360GD&TDFMAdditive Mfg

Computational & AI

PythonMATLABSimulinkTensorFlowPyTorchOpenCVXGBoostOptunaScikit-Learn

Web & Tools

React.jsFlask APIGit/GitHubStreamlitCanvaVS Code

Proficiency Metrics

CAD Modeling & FEA (NX / SolidWorks)
90%
Python & Scientific Computing
88%
Deep Learning & Computer Vision
85%
MATLAB & Simulink
82%
Data Science & Algorithms
80%

Let's Work Together

Open to internships and early-career roles in AI, robotics, aerospace, and data-driven mechanical systems.

Get in TouchView All Projects