class SnehVora:
    role       = "AI/ML Engineer @ Molina Healthcare USA"
    education  = "M.S. Computer Science, NJIT (GPA: 3.9)"
    location   = "Iselin, NJ 🌍"
    experience = "4+ years"
    focus      = ["GenAI", "RAG Pipelines", "Fraud Detection", "LLM Evaluation"]
    looking_for = "ML Engineer · AI Engineer · Backend Engineer"

Backend Developer Intern
Jan 2023 – Apr 2023

• Analyzed business requirements and translated functional needs into backend APIs, database designs, and technical specifications for multiple web applications.
• Developed backend applications using Java Spring Boot, Flask, and PostgreSQL while optimizing data models and SQL queries for efficient data retrieval and reporting.
• Integrated third-party services including payment gateways, SMS APIs, and notification systems, documenting data flows and troubleshooting integration issues.
• Collaborated with developers and stakeholders throughout the SDLC, validating APIs using Postman, maintaining technical documentation, and supporting AWS-based deployments.

Machine Learning Engineer
Aug 2021 – Jan 2023

• Designed automated ETL pipelines using Python (Pandas, SQLAlchemy), SQL, and AWS services (S3, Lambda, RDS) to streamline data collection, transformation, and reporting workflows.
• Extracted and analyzed large datasets using SQL and Python to prepare structured data for machine learning models and operational reporting.
• Collaborated with cross-functional teams to understand business requirements, document data processing workflows, and develop scalable REST APIs using Flask and FastAPI.
• Monitored production ML pipelines, implemented logging and performance monitoring, and resolved data quality issues to ensure reliable automation processes.
• Containerized applications using Docker and deployed solutions on AWS (ECS, EC2, Lambda), improving deployment consistency and operational efficiency.
• Built predictive models using scikit-learn and PyTorch while documenting experimentation results, model performance, and deployment procedures for engineering teams.

Backend Developer Intern
Jun 2021 – Jul 2021

• Automated data scraping and database synchronization workflows, reducing manual operational effort by 90%.
• Queried and managed PostgreSQL databases using SQL, stored procedures, and JDBC to support application functionality and data validation.
• Participated in the complete SDLC by developing Spring Boot applications, documenting system design with UML diagrams, and assisting in process documentation.
• Performed competitive data analysis across multiple e-commerce platforms and generated insights that improved customer engagement by 30%.
• Contributed to testing, debugging, and technical documentation by creating test cases and maintaining project documentation for future development.

GenAI & LLM

ML / DL

Backend & Cloud

🎓 M.S. Computer Science — New Jersey Institute of Technology (NJIT) · GPA: 3.9 · Dec 2025

🎓 B.Tech Computer Science — Charotar University of Science and Technology · GPA: 3.36

📜 IBM Certified Data Architect – Big Data  |  ML Course – Wissenaire, IIT Bhubaneswar

Twitter Sentiment Analysis with TextBlob — IJISRT, Vol. 7, Issue 11, Nov 2022
Designed a pipeline for Twitter data extraction, cleaning, and sentiment classification using Python's TextBlob.