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I am Sarthak Narnor, Passionate AI Developer, Dedicated deep-tech learner and A skilled Aeronautical Engineer.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
GPU-Accelerated-2D-Fluid-Diffusion-Simulation
June 5, 2026 – Present
This project simulates that process on a 2D grid, but at millions of points simultaneously, and does it efficiently using GPUs.
View ProjectDL-Coursework
May 24, 2026 – Present
Deep Learning coursework featuring advanced neural network architectures, focusing on model validation/generalization techniques and Variational Autoencoders (VAEs) applied to remote sensing data.
View Projectmachine-learning-coursework
May 24, 2026 – Present
A comprehensive collection of core Machine Learning algorithms implemented from scratch and using standard libraries, covering regression, classification, clustering, and neural networks.
View Projectsanskrit-english-sentence-embeddings
April 9, 2026 – Present
Generate and evaluate cross-lingual sentence embeddings for Sanskrit–English pairs using multilingual transformer models, PCA, and cosine similarity.
View ProjectEcoPulse---AI-Driven-NGO-Operations
February 9, 2026 – Present
To design a scalable and explainable AI-based system that can accurately predict and analyze carbon emissions at both energy and activity levels, using limited and heterogeneous data, and recommend cost-effective emission reduction strategies suitable for NGO environments.
View ProjectPdM-of-Helicopter-Turboshaft-Engine
July 31, 2025 – August 24, 2025
Use of machine learning for predictive maintenance of helicopter turboshaft engines.
View ProjectEV_Adoption_Forecasting
May 26, 2025 – May 27, 2025
Build a regression model that forecasts future EV adoption demand based on historical trends in EV growth, types of vehicles, and regional data.
View ProjectWaste-Classification-using-MobileNet
April 15, 2025 – April 17, 2025
A lightweight waste classification system using MobileNet. Classifies images of waste into categories like organic, and recyclable. Built with TensorFlow and optimized for real-time use on mobile or edge devices to promote smart and sustainable waste management.
View ProjectCultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest in AI/ML applications across various domains, including environmental impact (EcoPulse), healthcare (SANA), and industrial applications (PdM of Helicopter Turboshaft Engine). This diversity suggests adaptability and a broad intellectual curiosity. However, without information on collaborative projects or team roles, assessing direct cultural fit for a team-oriented environment is challenging. The focus on personal projects indicates a self-starter, but also a potential lack of experience in large-scale team collaboration.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to work on complex problems independently.