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saharshmehrotra/README.md

Saharsh Mehrotra

๐Ÿš€ AI/ML Engineer | ๐Ÿ“Š Data Science Researcher | ๐Ÿง  Generative AI & CV Enthusiast| ๐Ÿ“ง [email protected]

LinkedIn Leetcode GitHub


๐Ÿ‘จโ€๐Ÿ’ป About Me

I'm an Artificial Intelligence and Machine Learning enthusiast with hands-on experience in building and deploying end-to-end intelligent systems. From job shop scheduling to speech disorder detection, I thrive on transforming real-world problems into scalable ML/DL solutions.

  • ๐ŸŽ“ B.Tech in Artificial Intelligence and Machine Learning @ Symbiosis Institute of Technology, Pune (2026)
  • ๐Ÿงช Research Intern @ Symbiosis Centre for Applied AI | Ex-ML Intern @ Coforge
  • ๐Ÿ“ˆ Published Researcher | MethodsX 2024 โ€“ Stutter Detection with ML
  • ๐Ÿ’ก Passionate about Explainable AI, CV, NLP, RAG, and DL Optimization
  • ๐Ÿงญ Currently exploring: GNNs in object detection, RL for smart scheduling, and RAG chatbots with memory & planning

๐Ÿ’ป Tech Stack

C CSS3 HTML5 Java JavaScript Python R AWS Google Cloud Firebase Render Vercel Anaconda nVIDIA Django Express.js Flask NodeJS OpenCV React Streamlit Vite MongoDB MySQL Postgres SQLite Canva Keras Matplotlib NumPy Pandas Plotly PyTorch scikit-learn Scipy TensorFlow GitHub Power Bi

๐Ÿ“Š GitHub Stats:



saharshmehrotra


๐Ÿ”ฌ Featured Projects

Project Description
๐Ÿง  Job Shop Scheduling with RL
(DQN, PPO, Gym, Gantt)
Custom Gym environment for optimizing factory workflow with reinforcement learning. Improved scheduling efficiency using DQN/PPO and visualized operations with interactive Gantt charts.
๐ŸŽ™๏ธ Stuttered Speech Detection
(ML, Audio Processing, Librosa)
Developed a deep learning model to detect and classify stuttered speech. Published in MethodsX (2024). Link
๐Ÿ›ก๏ธ Robust Aerial Object Detection
(YOLOv11, GNN, Optical Flow)
Improved object detection under occlusions using motion cues, depth estimation, and GNN-based re-scoring, resulting in a 9.2% performance boost.
๐Ÿ“Š Earnings Call Analyzer
(LLMs, FinBERT, LangChain)
Built an NLP-powered Android app that summarizes earnings calls, analyzes sentiment, and includes a RAG chatbot for financial Q&A.
๐ŸŒ MyKartavyam
(Django, CV, ML)
Civic-tech platform for complaint reporting with AI-based content verification and Twitter integration. Deployed in collaboration with an NGO.

๐Ÿ… Achievements

  • ๐Ÿ† Innovative Mind Award 2024 โ€“ AISSMS Techathon | Won โ‚น25,000 for a smart water hyacinth classification system
  • ๐Ÿ“œ 10+ Certifications from DeepLearning.AI, AWS, IIT Roorkee and more

๐Ÿค Letโ€™s Connect!

Iโ€™m always excited to collaborate on research, AI-driven applications, and real-world ML problems. If youโ€™re working on something exciting or just want to chat about deep techโ€”letโ€™s connect!


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  1. Stutter-Detection-and-Classification Stutter-Detection-and-Classification Public

    System for classifying stuttering in speech and identification of various stutter types which offers valuable support for speech therapy.

    Jupyter Notebook 11

  2. Earnings-Call-Transcripts-Analysis Earnings-Call-Transcripts-Analysis Public

    Summarization, Sentiment Analysis and Conversational AI Integration of Earnings Call Transcripts (ECTs).

    Jupyter Notebook 2

  3. Job-Shop-Scheduling-using-Reinforcement-Learning Job-Shop-Scheduling-using-Reinforcement-Learning Public

    Job-Shop Scheduling Problem (JSSP) using Reinforcement Learning by training intelligent agents in a custom simulation environment

    Jupyter Notebook 3 1

  4. Aerial-Based-Target-Identification-Under-Occlusion Aerial-Based-Target-Identification-Under-Occlusion Public

    Real Time Aerial-Based Target Identification in Occluded Environments

    Jupyter Notebook

  5. Acute-Myeloid-Leukemia-Subtype-Classification Acute-Myeloid-Leukemia-Subtype-Classification Public

    CNN-driven diagnostic model for AML subtype classification from single blood cell images

    Jupyter Notebook

  6. Premier-League-Prediction Premier-League-Prediction Public

    The main goal of this work is to use feature engineering to accurately determine the outcome of English Premier League matches and generate a standing's table prediction.

    Jupyter Notebook 1