About
Learn more about me
AI/ML Engineer & MLOps Specialist
Highly focused **AI/ML Engineer** and **MLOps Specialist** with hands-on experience building end-to-end, production-grade AI systems across **Natural Language Processing (NLP)**, **Deep Learning**, and **real-time data pipelines**. Professional background features developing **multilingual LLM-powered applications**, designing high-frequency **algorithmic trading systems**, and implementing scalable **MLOps workflows** using modern deployment tools. Backed by a strong foundation in Python, deep learning frameworks, and cloud-native infrastructure, I specialize in moving machine learning prototypes from initial experimentation to robust, real-world production deployment.
- Website: Darshan Khunt
- Phone: +1 (551) 339-7496
- City: New York, USA
- Degree: MS in Artificial Intelligence
- Email: dkhunt284@gmail.com
Skills
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 **automated trading platform** to transition legacy manual strategies into programmatic execution workflows.
- Designed, backtested, and deployed **25+ quantitative trading strategies** for high-frequency automated execution.
- Leveraged high-performance technologies, including **Redis** (caching), **MongoDB** (NoSQL database), and **Elasticsearch**, to optimize data ingestion and latency.
- Integrated automated Slack notification bots and Sentry tracking for real-time system monitoring and anomaly alerts.
- Architected low-latency web pipelines using **WebSockets and Socket.IO** for live trade feeds and data broadcasting.
- Engineered a real-time PnL calculation engine with a **failsafe kill switch** for instant trade liquidation and strategy halting during market anomalies.
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
- Engineered a multilingual, voice-activated AI resume generation system powered by **Large Language Models (LLMs)** enabling users to build professional resumes via voice in their native language.
- Developed low-latency **Speech-to-Text (STT)** and **neural machine translation** pipelines supporting Korean, Japanese, and Chinese to generate localized and English resumes.
- Designed a **RAG-based resume parsing pipeline** using advanced NLP techniques to extract key candidate attributes and dynamically generate tailored interview questions.
Python Data Scientist
May 2023 - Aug 2023
Jainam Broking Limited, Gujarat, India
- Backtested derivative and equity trading strategies using **Python, Pandas, and MS SQL databases**.
- Analyzed large-scale market behavior by processing over **70 million (7 crore) futures and options data points** from the National Stock Exchange of India (NSE).
- Developed a responsive dashboard to visualize strategy backtest metrics using the **Django** web framework.
- Integrated data analysis workflows with web reporting pipelines to present actionable quantitative insights.
Projects
PROJECTS PORTFOLIO
Anomaly Detection System & End-to-End MLOps Pipeline
Nov 2025 - Jan 2026
- Trained, evaluated, and optimized multiple classifier models (Logistic Regression, Random Forest, XGBoost) for highly imbalanced anomaly detection datasets.
- Addressed severe class imbalance using SMOTE and tracked performance drift/metrics using MLflow's experiment comparison UI.
- Implemented a structured MLOps pipeline using MLflow Model Registry with Champion/Challenger deployment aliases and DagsHub for central experiment tracking.
Knee Osteoarthritis KL Grade Classification
Mar 2025 - May 2025
- Built a CNN-based medical image classification system using a fine-tuned ResNet18 architecture to diagnose Knee Osteoarthritis severity from X-ray scans.
- Developed custom data preprocessing, normalization, and image augmentation pipelines in PyTorch.
- Utilized deep feature extraction techniques to learn highly discriminative representations for grade-level osteoarthritis classification.
- Achieved 94% validation accuracy on benchmark datasets, analyzing results with confusion matrices and ROC-AUC metrics.
IVC Motif Detection using CNN
Aug 2024 - Dec 2024
- Developed a deep learning CNN model to classify intricate archaeological motifs from Indus Valley Civilization (IVC) seals and artifacts.
- Designed image preprocessing and noise reduction pipelines for historical artifact imagery to isolate and identify script symbols.
- Achieved 89% classification accuracy across diverse motif categories, aiding archaeological research and pattern analysis.
- Integrated model inferences into an automated artifact identification workflow to support digital humanities and historical preservation efforts.
Contact
Contact Me
dkhunt284@gmail.com