cv

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Basics

Name Jatin Avinash Salve
Label Computer Science Graduate Student & ML Engineer
Email jatin.salve@ufl.edu
Phone +1 (352)-757-9671
Url https://jatins-dev.github.io/
Summary Graduate student in Computer Science at University of Florida with expertise in Machine Learning, Natural Language Processing, and Multimodal AI. Published researcher with experience in healthcare AI applications and real-time systems development.

Work

  • 2023.05 - 2024.07
    Technology Analyst
    ICICI Bank
    Led migration to Adobe's personalization platform across multiple banking applications, impacting 10M+ customers. Built ML-driven recommendation engines and improved system efficiency by 7.5%.
    • Led migration to Adobe's personalization platform across RIB, CIB, NLI, and iMobile, impacting 10M+ customers
    • Improved efficiency by 7.5% and reduced rendering latency by 1s through optimized data processing pipelines
    • Built ML-driven recommendation engines with logistic regression & real-time event processing using Apache Kafka
    • Deployed scalable solutions in Unix/Linux environments with 99.9% uptime and automated CI/CD pipelines
    • Mentored junior developers and conducted technical knowledge sharing sessions
  • 2023.04 - 2024.02
    Research Assistant
    AI-ML-NLP Lab, IIT Patna
    Developed EDI-Summ, a multimodal summarization architecture for clinical documents, achieving state-of-the-art performance and publishing at ACL 2024.
    • Developed EDI-Summ, a multimodal summarization architecture with contextual + cross-attention
    • Achieved 0.81 factual recall and 3.51 clinical score, outperforming GPT-3.5 & GPT-4V
    • Enhanced BART pipelines with multimodal fusion for state-of-the-art healthcare summarization
    • Conducted experiments in Linux-based distributed research environments
  • 2022.05 - 2022.08
    MITACS Globalink Research Intern
    Polytechnique de Montréal
    Built real-time decision support system for climate and water management, processing 20,000+ datasets across 30 cities and improving forecast accuracy by 25%.
    • Built real-time decision support system with React.js, Node.js, and ML models
    • Processed 20,000+ climate & water datasets across 30 cities
    • Improved forecast accuracy by 25% and planning efficiency by 30%
    • Deployed on Linux servers with scalable backend services
  • 2021.07 - 2022.08
    Software Developer (OSPP & GSoC)
    JoomlaCMS
    Developed customizable guided tour system with multi-language support, reducing onboarding drop-off by 20% and mentoring contributors in Google Summer of Code program.
    • Developed customizable guided tour system with multi-language support & progress tracking
    • Reduced onboarding drop-off by 20%
    • Mentored contributors in selective Google Summer of Code program (0.2% acceptance rate)
    • Collaborated with global teams via Git, Agile workflows, and CI/CD pipelines

Volunteer

  • 2021.01 - 2024.12

    Remote

    Contributor & Mentor
    Open Source Community
    Active contributor to open-source projects including JoomlaCMS, PyTorch, and various healthcare AI projects. Mentor students in ML/AI and software development.
    • Mentored 10+ junior developers and students in ML/AI and software development
    • Active contributor to JoomlaCMS, PyTorch, and various healthcare AI projects
    • Speaker at local tech meetups and AI/ML conferences
    • Teaching coding to underprivileged students

Education

  • 2024.08 - 2026.05

    Gainesville, FL, USA

    Master of Science
    University of Florida
    Computer Science
    • Large Language Models(LLMs)
    • Natural Language Processing(NLP)
    • Mathematics for Intelligent Systems
  • 2019.08 - 2023.05

    Mumbai, India

    Bachelor of Technology
    Veermata Jijabai Technological Institute
    Electronics and Computer Engineering
    • Data Structures
    • Algorithms
    • Database Systems
    • Software Engineering
    • Computer Networks
    • Operating Systems

Awards

Certificates

Publications

Skills

Programming Languages
Python (Expert)
Java (Advanced)
JavaScript (Advanced)
C/C++ (Intermediate)
SQL (Advanced)
PHP (Intermediate)
R (Intermediate)
ML/AI Frameworks
PyTorch
TensorFlow
Hugging Face Transformers
Scikit-learn
NumPy
Pandas
OpenCV
MediaPipe
Keras
XGBoost
LightGBM
Web Development
React.js
Node.js
Express.js
REST APIs
GraphQL
HTML5
CSS3
Bootstrap
jQuery
AJAX
WebSocket
Cloud & DevOps
AWS (EC2, S3, Lambda, SageMaker, CloudFormation)
Docker
Kubernetes
Git
CI/CD
Linux/Unix
Jenkins
Terraform
Databases & Tools
MongoDB
PostgreSQL
MySQL
Redis
Apache Kafka
Jupyter
Streamlit
Apache Spark
Elasticsearch

Languages

English
Fluent
Hindi
Native speaker
Marathi
Native speaker

Interests

Machine Learning & AI
Multimodal Learning
Deep Neural Networks
Transfer Learning
Real-time Inference
Model Optimization
Federated Learning
Computer Vision
Gesture Recognition
Healthcare AI
Natural Language Processing
Multimodal Summarization
Clinical NLP
Medical Text Processing
Large Language Models
Prompt Engineering
Few-shot Learning
Cross-lingual Processing
Machine Translation
NLG
NLU
Distributed Systems
Scalable Backend Services
Real-time Processing
Event Streaming
Cloud Computing
Microservices Architecture
Containerization
Data Engineering
ETL Pipelines
Real-time Analytics

Projects

  • 2023.04 - 2024.02
    EDI-Summ: Multimodal Clinical Document Summarization
    Developed state-of-the-art multimodal summarization architecture with contextual + cross-attention mechanisms, achieving 0.81 factual recall and 3.51 clinical score, outperforming GPT-3.5 & GPT-4V
    • Multimodal fusion architecture
    • Contextual and cross-attention mechanisms
    • Published at ACL 2024
    • Outperformed GPT-3.5 & GPT-4V
  • 2024.01 - 2024.06
    Gestural AI – Real-Time ASL Interpreter
    Built real-time American Sign Language recognition system with 94% accuracy on 20,000+ videos & 166,000 images using Python, OpenCV, MediaPipe, and TensorFlow
    • 94% accuracy on 20,000+ videos
    • Real-time processing
    • Computer vision and gesture recognition
    • Deep learning implementation
  • 2022.05 - 2022.08
    Climate Decision Support System
    Designed real-time data analysis platform processing 20,000+ climate & water datasets across 30 cities, improving forecast accuracy by 25% using React.js, Node.js, and ML models
    • 20,000+ datasets processed
    • 30 cities coverage
    • 25% accuracy improvement
    • Real-time data analysis
  • 2021.07 - 2022.08
    JoomlaCMS Guided Tour System
    Developed modular onboarding framework with multi-language support integrated into JoomlaCMS core, reducing user drop-off by 20% and improving user experience
    • 20% reduction in user drop-off
    • Multi-language support
    • Modular architecture
    • GSoC and OSPP project