Shobhit Ratan

AI Researcher

New York City, New York, United States4 yrs 10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in AI and Machine Learning technologies.
Proven track record in developing scalable web applications.
Strong collaborative skills with cross-functional teams.

Stackforce AI infers this person is a Fintech and SaaS expert with strong AI and web development capabilities.

Contact

shobhit.ratan@outlook.com LinkedIn

Skills

Core Skills

Machine LearningDeep LearningArtificial IntelligenceData AnalyticsWeb DevelopmentCloud Computing

Other Skills

API GatewayAWSAWS LambdaAccountingAgGrid LibraryAgentic AIAngularBig Data AnalyticsBusiness Intelligence (BI)CSSChart.jsCloudWatchCognitoCommunicationConcourse

About

AI Engineer with deep expertise in Artificial Intelligence, Machine Learning, Deep Learning, and Agentic AI systems, specializing in developing intelligent solutions across the Software Development Lifecycle from conception to deployment. Proficient in cutting-edge AI/ML technologies including Deep Reinforcement Learning, PyTorch, Scikit-Learn, and Natural Language Processing, with strong capabilities in Python for model development and optimization. Experienced Full Stack Developer skilled in building scalable web applications using Java, React, Angular, and Flask, integrated with cloud infrastructure (AWS) and diverse database systems including RDBMS (AWS RDS, PostgreSQL, MySQL, Oracle) and NoSQL (AWS DynamoDB, MongoDB). Collaborate with cross-functional teams of developers, designers, and stakeholders to deliver high-quality, user-centric products. Passionate problem-solver who rapidly assimilates emerging technologies and fosters collaborative peer learning to drive professional excellence and organizational success. AWS Certified Solutions Architect Associate and AWS Certified Cloud Practitioner with a Master of Science in Information Systems (MSIS), concentration in Data Analytics, and a Bachelor of Business Administration (BBA), double major in Accounting and Information Systems. Currently pursuing a Master of Science in Computer Science (MSCS), specializing in Artificial Intelligence.

Experience

4 yrs 10 mos

Total Experience

2 yrs 9 mos

Average Tenure

2 yrs 1 mo

Current Experience

Infosys

AI Engineer

May 2024 – Present · 2 yrs 1 mo · New York, United States · On-site

Securities Volatility Forecasting Tool for Large Multinational Bank: Developed a securities forecasting tool for Prime Brokerage Investment Bankers, leveraging technical analysis of historical performance to support data-driven investment decisions. Implemented a classification machine learning model using Logistic Regression, Gradient Boosting, and Multi-Layer Perceptron Neural Networks to categorize stocks into temperature classes based on lending market activity.
AI-Powered SQL Chatbot for Natural Language Database Querying for Large Multinational Bank: Built and deployed a full-stack chatbot enabling natural language to SQL query generation for non-technical users at a large multinational bank. Developed a custom PyTorch Seq2Seq model enhanced with Proximal Policy Optimization (PPO) reinforcement learning to maximize query accuracy. Integrated Flask API backend with React/TypeScript frontend and connected to SingleStoreDB for real-time querying, automating data access, and reducing manual workload.
Data Analytics Dashboard for Large Multinational Bank: Developed an interactive analytics dashboard for a large multinational bank that processes and visualizes daily snapshot data across multiple markets and security groups. Built features enabling users to filter and aggregate data by date, market code, security group, and custom parameters, with dynamic visualization capabilities and PDF report generation for executive presentations. Implemented responsive UI with real-time data updates to support trading and investment decision-making workflows.
Extensively working on the following Technology Stack :
Frontend: React, TypeScript
Backend: Flask (Python)
Database: Single Store Database
Data Analytics: AgGrid Library, Chart.js, Matplotlib.pyplot
AI: PyTorch, Seq2Seq Architecture (Transformer-Based Architecture), Proximal Policy Optimization (PPO),
(LogisticRegression, XGBoost, MLPClassifier) through SKLearn.

Agentic AIMachine LearningDeep LearningDeep Reinforcement LearningPythonFlask+6

Georgia institute of technology

Graduate Student

Aug 2023 – Present · 2 yrs 10 mos

MS Computer Science with specialization in Artificial Intelligence
Courses Completed
1. Artificial Intelligence
2. Machine Learning
3. Deep Learning
4. Reinforcement Learning
5. Software Development Processes
6. Agentic AI
Course In Progress
1. Game AI

Cognizant

Senior Software Engineer

Aug 2021 – May 2024 · 2 yrs 9 mos

PROJECTS:
Emissions Tracker for Energy Company: Developed an Emissions Tracker dashboard and monthly accounting reporting system to measure the financial impact of moving towards Zero Carbon Emissions. Used Angular for the Frontend, Python for Backend, Concourse for the CI / CD pipeline and Terraform for setting the AWS Infrastructure along with AWS Lambda, RDS, CloudWatch, API Gateway, Cognito, S3, Secrets Manager, VPC, Vault, WAF. Also used Cronjobs to setup an automated email scheduling system to periodically update project status to project stakeholders.
Apple Pay Integration for Financial Institution: Successfully migrated 20 applications from Pivotal Cloud Factory (PCF) to AWS / Red Hat OpenShift Container Platform (OCP) for Digital Checkout Module, resolved > 2,000 defects/issues on SpringBoot across production environments and implemented Spring Security and JWT for Authentication & Authorization.
E-commerce Website for Retail Customer: Created the digital checkout, order detail components and integrated PayPal API using React, React Bootstrap, Redux, ExpressJS for front-end, MongoDB for database, User Authentication via JWT.
Movie Review Website for Media Client: Developed movie database platform using React and utilized OpenMovieDatabase API to pull/parse the movies and setup authentication/authorization using Spring Security and AWS Cognito. Integrated Instagram Graph (Business) APIs to find hash tagged media and capture metrics about Instagram creators and users. Used AWS CodeBuild to automate CI/CD pipeline, Amplify to host the frontend, Elastic Bean Stalk to host the Backend and MySQL (RDS) and setup the Jenkins CI/CD pipeline with 95% test coverage ratio.
SKILLS:
Front-End : JavaScript, HTML5/CSS, UX Design & Wireframing (Balsamiq), React, Redux, ReactNative, Angular
Back-End : Ruby, PostgreSQL, SQL, Django Framework, SpringBoot, Java, C++, MongoDB, NodeJS, AWS, Azure
Data-Analytics: Python, Tableau, PowerBI, Excel (Advanced)