About

Learn more about me

AI/ML Engineer

AI Engineer with hands-on experience building end-to-end, production-grade AI systems across NLP, deep learning, and real-time data pipelines. My work spans multilingual LLM-powered applications, algorithmic trading systems, and scalable MLOps workflows. With a strong foundation in Python, deep learning frameworks, and cloud-native infrastructure, I focus on designing reliable, scalable AI solutions that move from experimentation to real-world deployment. This portfolio showcases projects where I combine machine learning, system design, and engineering rigor to solve practical, high-impact problems.

  • Website: Darshan Khunt
  • Phone: +1 (551) 339-7496
  • City: New York, USA
  • Degree: MS in Artificial Intelligence
  • Email: dkhunt284@gmail.com

Skills

PYTHON 95%
PyTorch & TensorFlow 80%
LLMs 80%
NLP 95%
MLflow 95%
Docker80%
Django90%
Redis95%
MongoDB & Elasticsearch 80%
AWS 75%

Interests

Python

DevOps

Analytics

Machine Learning

Data Engineering

Data Science

API Development

Web Development

Hardware

Blockchain

Cloud

Automation

Resume

Darshan Khunt

Professional Experience

Algorithmic Trading Developer

Sep 2023 - Jul 2024

Jainam Broking Limited, Gujarat, India

  • Developed a comprehensive platform to transition manual trading to automated trading.
  • Designed and implemented over 25 trading strategies for automated execution.
  • Utilized cutting-edge technologies including Redis, MongoDB, and Elasticsearch for enhanced performance and data management.
  • Integrated Slack message bot for real-time notifications and Sentry for effective error tracking.
  • Employed Socket.IO and Web-socket for live trade data reception and broadcast.
  • Engineered a system to calculate overall profit and loss, incorporating an emergency button for trade liquidation and strategy halting in critical situations.

Education

Master of Science in Artificial Intelligence

May 2024 - present

Long Island University, NY, USA

GPA: 3.89 / 4.00

Bachelor of Science in Information Technology

Jun 2023 - May 2023

Gujarat University, Gujarat, India

GPA: 9.63 / 10.00

Post Graduate Diploma in Computer Applications

Jul 2023 - May 2024

Silver Oak University, Gujarat, India

GPA: 8.73 / 10.00

Internship

AI Engineer Intern

Feb 2025 - Jun 2025

WorkOnward Inc., New York, USA

  • Developed a multilingual AI call-based resume generation system enabling blue-collar workers to create resumes via voice in their native language.
  • Built speech-to-text and language translation pipelines to support multiple languages including Korean, Japanese, and Chinese, generating resumes in both English and local languages.
  • Built a resume parsing pipeline to extract candidate information for recruiters and generate interview questions.

Python Data Science

May 2023 - Aug 2023

Jainam Broking Limited, Gujarat, India

  • Back-tested trading strategies using Python and MS SQL databases.
  • Analysed over 7 crore (70 million) futures and options data points from the Indian stock market (NSE).
  • Developed a website to showcase results using the Django framework.
  • Integrated data analysis with web development to present actionable insights.

Project

PROJECTS PORTFOLIO

Anomaly Detection System with End-to-End MLOps using MLflow & DagsHub

Nov ‘25 - Jan ‘26
  • Trained and evaluated multiple models (Logistic Regression, Random Forest, XGBoost) on imbalanced data, selecting the best model based on minority class recall and F1 score.
  • Applied SMOTE to address class imbalance and tracked improvements using MLflow’s experiment comparison UI.
  • Used MLflow Model Registry with Challenger aliases and integrated DagsHub for centralized experiment tracking.

Knee Osteoarthritis KL Grade Classification with ResNet18

Mar ‘25 - May ‘25
  • Built a CNN-based medical imaging classification system using ResNet18 to predict osteoarthritis severity from X-ray.
  • Implemented preprocessing and augmentation pipelines and fine-tuned pretrained weights to optimize performance.
  • Extracted visual features from X-ray images to learn discriminative representations for osteoarthritis severity classification.
  • Achieved 94% accuracy on benchmark Kaggle data and validated results using structured evaluation metrics.

IVC Motif Detection using CNN

Aug ‘24 - Dec ‘24
  • Developed a robust CNN model to accurately classify intricate motifs from Indus Valley Civilization (IVC) artifacts, significantly enhancing cultural and historical insights.
  • Processed and pre-processed extensive archaeological image datasets to detect, analyze, and identify intricate patterns and symbolic motifs present in IVC art and scripts.
  • Achieved a high classification accuracy of 89% for IVC motifs, providing valuable support for researchers studying ancient cultural artifacts and historical patterns.
  • Implemented automated artifact identification pipelines, streamlining historical research workflows and contributing to the preservation and study of IVC cultural heritage.

Contact

Contact Me

Email

dkhunt284@gmail.com

Social Profiles

Designed by BootstrapMade