Business Systems Machine Learning

SIDDHANT JAIN

+1-206-***-**** *******@*******.*** LinkedIn

EDUCATION:

• Masters in Science, Computer and Information Sciences, Aug’ 23 – Dec’ 24 o University at Buffalo, New York CGPA: 3.8

• Bachelor of Technology, Computer Science with Business Systems, Aug’ 19 – June 23 o Vellore Institute of Technology, India CGPA: 8.3 Relevant Coursework: Computer Networks, Cloud Computing, Database Management Systems, Microprocessor Architecture, Big Data, Data Structures and Algorithms, Microprocessor Architecture, Wireless Sensor Networks, Artificial Intelligence, Machine learning, Deep Learning, Operating Systems, Computer Security, Operating Systems. SKILLS:

Languages: Java, C++, Python, C#, SQL, JavaScript, CSS, HTML, XML, .NET, ReactJS, javascript, PHP

Tools: PowerPoint, Android Studio, Anaconda, VS Code, MS Excel, Google Colab, MS Office, AWS CLI, EB CLI

Frameworks: Django, Scikit, NLTK, OpenCV, TensorFlow, Keras, Flask RESTful API, PyTorch, LangChain, LlamaIndex

Platforms: Windows, Linux, Web, MQTT, IBM Watson, AWS SageMaker, AWS RDS, AWS EC2, AWS S3, AWS Lambda, AWS Glue, AWS Neptune, AWS CloudWatch, AWS Elastic Beanstalk

Soft Skills: Team Player, Leadership, Fluent Communication, Creative Writing, Time Management WORK EXPERIENCE:

• Vriddhi Software Solutions, Pvt. Ltd. Apr’ 22 – May’ 22 Software Developer (Intern) Nashik, India

o Executed ERP software for handling academic and financial information for 200+ educational institutes. o Engineered PL/SQL packages and procedures to handle university data using Oracle SQL Developer. o Developed code in C# for real-time data sharing and database synchronization, improving data availability by 30%.

• IBM. June 21 – July 21

Artificial Intelligence Engineer (Extern), Bengaluru, India o Created a web application to predict sales forecast of a store while working in an agile working environment. o Built the AI model based on long short-term memory (NLP model) to study and analyze previous data using Recurrent Neural Networks.

o Executed fast debugs using Flask, RESTful request dispatching, and Jinja2 templating, reducing debugging time by 20%.

PROJECTS:

End-to-End Medical Chatbot June’ 24

o Developed a medical chatbot using LLMs, OpenAI, LangChain, vector database, and LlamaIndex. Deployed on AWS EC2.

o Implemented features for booking appointments, answering medical queries, and providing preliminary diagnoses.

Style Transfer and Instance Segmentation on Clothes using Detectron2 and VGG19 May’ 24 o Developed a Flask web application for style transfer on clothes using VGG19 and Detectron2. o Trained a Mask R-CNN model on a custom dataset, enabling users to apply style transfer to detected clothing items.

Graph Neural Network-based Recommendation System for Job Listings April’ 24 o Developed a GNN-based recommendation system deployed on AWS SageMaker and EC2. o Represented users and job listings as nodes in a graph, generating job suggestions based on learned representations.

Social Media Misinformation Dataset Collection and Management (SMDM) Mar’ 24 o Designed a scalable database using PostgreSQL on AWS RDS to track misinformation spread. o Implemented data integrity, real-time updates, and security measures using AWS IAM and CloudWatch. o Deployed data processing solutions on AWS Lambda and used AWS Glue for data transformation, reducing processing time by 25%.

PUBLICATIONS:

• Rust disease classification using deep learning algorithms: presented at Eurasia Conferences in Berlin.

(May’ 23)

• Medify Chatbot: Based on the project that answers user queries and diagnose diseases and enables to book appointment with the specialist in the user’s area. (Journal: IJARCCE) (Sept’ 22) VOLUNTEER EXPERIENCE:

• Member of Rotaract Club, VIT Vellore, India: Organized many Seminars on awareness programs and also volunteered in many social-work in the near villages. (Sept’19 - Oct’21)

• Core committee member at IEEE TEMS Student Chapter VIT Vellore, India: Organized technical and management workshops for 500 students and helped develop a website for IEEE VIT Chapter. (Sept’19 - Apr’20)

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