Hasrat Singh Chauhan

Proactive and professional worker with a strong vision, communication strengths and good observational skills. Skillfully handles day-to-day activities while looking for opportunities to make a difference.

Technologies : AWS Lambda, AWS Step Functions, Amazon EC2, Docker, Hibernate (via JPA), RESTful Web Services / APIs , Git, Maven

Computer Languages

Java/Java Servlets/JSP

Proficiency Intermediate

 Detail  

Proficient in Java (v24) with strong OOP fundamentals
Built and deployed Spring Boot apps using JPA, REST APIs, and PostgreSQL
Integrated AWS Lambda, Step Functions, and EC2 for scalable cloud solutions
Experienced with microservices, dynamic programming, and unit testing (JUnit)
Familiar with Agile workflows, Git, and CI/CD tools

SQL/Database Programming : 

Proficiency Advanced

Detail : 

Uni Course CMPU 291  Completed 

Proficient in writing complex SQL queries for data analysis and reporting
Experienced with PostgreSQL and Azure SQL for data storage and optimization
Designed and managed relational databases with normalized schemas
Implemented stored procedures, joins, indexing, and query optimization
Used SQL in data migration, pipeline development, and BI tools like Power BI

Python

Proficiency : Intermediate

Detail:

Proficient in Python for backend development, data analysis, and automation
Experienced with libraries like scikit-learn, spaCy, NLTK, and Flask
Built ML models for classification and prediction using scikit-learn
Developed REST APIs and data pipelines; optimized workflows with scripting
Used Python for NLP tasks, data processing, and analytics on large datasets

Matlab

Proficiency : Intermediate

Detail : 

Facial Recognition Robot : Computer vision toolkit, iOS kit , Android kit, utilizing the KLT Algorithm, Deep Learning Toolbox, Simulink support package for Raspberry pi / Arduino( I used Arduino)
- Utilized MATLAB for facial recognition using custom algorithms and data preprocessing
Developed a facial recognition system using MATLAB with Computer Vision Toolbox and Deep Learning Toolbox
- Applied models and workflows from Deep Learning Toolbox Examples for face detection and classification
- Integrated with mobile and embedded platforms using Simulink Support Packages for Android, Arduino, and Raspberry Pi
- Built and deployed prototypes combining real-time input with deep learning pipelines(tried to)

Sentiment Analysis in Cryptocurrency Trading — In Progress
Exploring the impact of social media sentiment, particularly Twitter posts, on cryptocurrency price movements
Utilizing MATLAB toolboxes: Datafeed Toolbox, Statistics and Machine Learning Toolbox, Deep Learning Toolbox, and Econometrics Toolbox
Performing sentiment classification using custom models and comparing results with existing methods (VADER, ratio rule)
Integrating large language models via MATLAB API for enriched feature extraction and time series modeling
Designing algorithmic trading strategies based on sentiment-informed cryptocurrency time series and backtesting performance using Financial Toolbox
Implementing Simulink, Python-MATLAB integration, and mobile/embedded support packages for advanced interaction and testing
Work in progress with goals to:
Build an interactive crypto trading app
Apply reinforcement learning and factor models
Extend methodology to equity and fixed-income markets
Skills & Domains: Deep Learning, Text Analytics, Time Series Modeling, Algorithmic Trading, Financial Engineering, NLP, AI in Finance
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Explored image processing techniques separately for feature extraction and analysis

C/C++

Proficiency: Basic

Detail: 

Git, Uni level Course completed , 

Linux Kernel Development
Completed a ray detection project

Intro to Python, Developing in LINUX, Microsoft 

DSA in Java , Principles of Comp. Methodology 

Database Management (

Computer Organization and Architecture

Algorithms I  

Stats 1   and 2  

Calc 1 , 2, 3

Linear Algebra 1 and 2 

AI , ML