I'm a Graduate Student in Computer Science (GPA: 3.9) at New Jersey Institute of Technology (NJIT), passionate about backend development, AI integration, and scalable ML solutions. With hands-on experience in building enterprise-grade applications, I excel in Python, FastAPI, PyTorch, and RESTful API design. I thrive in cross-cultural, cross-functional teams, translating business needs into efficient technical solutions. Currently seeking opportunities in Machine Learning Engineering, Backend Development, or AI Engineering.

• 🌍 Based in Iselin, NJ
• 📫 Reach me at: sneh.vora126@gmail.com
• 🔗 LinkedIn | LeetCode

Other skills: SQL, NumPy, Pandas, Scikit-learn, LangChain, LangGraph, LLM, API Development, Database Optimization, Web Scraping, Microservices, System Design, Interpersonal Skills, Project Management.

• M.S. in Computer Science
  New Jersey Institute of Technology (NJIT), Newark, NJ
  Expected Graduation: December 2025
  Relevant Coursework: Reinforcement Learning, Machine Learning, Deep Learning, Data Structures & Algorithms, Data Management Systems Design, Operating Systems Design, Introduction to Big Data, Cloud Computing, Web Systems Development.

• B.Tech. in Computer Science & Engineering
  Charotar University of Science and Technology, India
  Graduated: April 2023
  Relevant Coursework: Data Science & Analytics, Machine Learning, Artificial Intelligence, Cryptography & Network Security, Java Programming, Object-Oriented Programming with C++, Database Management Systems, Design & Analysis of Algorithms, Computer Networks.

• Backend Developer Intern
  BVM Infotech Pvt. Ltd., GJ, India
  January 2023 - April 2023

  • Designed and deployed Flask-based REST APIs for high-traffic apps, improving response times by 35%.
  • Integrated payment gateways, SMS APIs, and notifications.
  • Optimized SQL queries and caching for scalability.

• Machine Learning Engineer (Part-time)
  Aarav Solutions Pvt. Ltd., Iselin, NJ
  Aug 2021 – Jan 2023

  • Designed and implemented ETL pipelines in Python using Pandas, SQLAlchemy, and AWS services (S3, Lambda, RDS) to automate data ingestion and preprocessing.
  • Performed data annotation, cleaning, and transformation to prepare high-quality datasets for training ML models.
  • Developed, trained, and fine-tuned supervised learning and deep learning models with scikit-learn and PyTorch.
  • Built and deployed RESTful APIs with Flask/FastAPI to serve model predictions and integrate with downstream applications.
  • Containerized pipelines using Docker and deployed on AWS (ECS, Lambda, EC2) for scalable production workflows.
  • Implemented monitoring and logging to track model performance and data quality in real-time.

• Backend Developer Intern
  Divyam Infotech Pvt. Ltd., GJ, India
  June 2021 - July 2021

  • Built Python data scraping pipelines for e-commerce price monitoring, reducing manual time by 90%.
  • Enabled real-time pricing analysis, boosting client retention by 10%.
  • Collaborated on data accuracy and API integrations.

• IBM Certified Data Architect - Big Data
• IJISRT Author Certificate
• Algorithm 1 Badge - LeetCode
• Django Essential Training - LinkedIn
• React Essential Training - LinkedIn
• Divyam Infotech Internship Completion Certificate
• BVM Infotech Pvt. Ltd. Internship Completion Certificate
• Wissenaire IIT Bhubaneswar – ML Course

• Multi-Agent Reinforcement Learning (MultiCarRacing-v0)

  • Implemented multi-agent RL in OpenAI Gym using Python. Tuned rewards for optimization and used continuous control with pixel inputs.
    Repo Link

• Legal AI for Bankruptcy Cases

  • Built a backend legal assistant with Cohere API, FastAPI, LangGraph, and Streamlit. Used RAG and Pinecone for vector search, reducing research time by 90%. Served 50K+ daily requests.
    Repo Link

• Smart Inventory Bot

  • Natural language to SQL system using Cohere API, LangGraph, and Streamlit. Reduced query complexity by 100% with Redis caching.
    Repo Link

• WPInsight Automator

  • Built an ETL pipeline to automate content workflows — extracting news articles from sources like Hindustan Times and NDTV, transforming them via AI-powered paraphrasing, and loading them into WordPress posts.
    
  • Automated WordPress admin tasks (create, update, delete posts) using Selenium, reducing manual effort and errors.
    
  • Deployed a paraphrasing API on DigitalOcean to ensure unique, plagiarism-free, and high-quality content.
    
  • Designed the system for scalability, enabling easy integration of new sources and minimal manual intervention for end-to-end automation.
    Repo Link

• Real Waste ML Classification

  • Analyzed datasets and implemented CNNs like VGG19, InceptionV3 using PyTorch. Evaluated with precision, recall, etc.
    Repo Link

• Twitter Sentiment Analysis with TextBlob
  Sneh Vora, Kishan Chanchad, Nevil Gajera
  International Journal of Innovative Science and Research Technology (IJISRT), Vol. 7, Issue 11, Nov 2022.
  Conducted sentiment analysis on Twitter data using Python's TextBlob library. Designed a pipeline for extraction, cleaning, and classification.

Thanks for visiting! Feel free to connect or collaborate on exciting projects. 😊