Hi I'm Chitral 👋

As the CEO and Co-Founder of Propael, I lead a team focused on leveraging AI-driven solutions to revolutionize job search using LLMs and Generative AI. Concurrently, I work as a Graduate Research Assistant at the University at Buffalo, where I contribute to cutting-edge research in fraud detection and data mining. My strong entrepreneurial spirit is backed by effective team leadership and strategic planning capabilities, which have been refined through my role as an ML/AI Software Engineer at CYQIQ.

See My Resume

Empowering Businesses with Data Science, Music, and Computer Engineering Expertise

Unlocking Growth Potential with a Unique Blend of Technical and Creative Skills

Data Science & Machine Learning

âš¡ Experienced in data science and analytics with demonstrated success in building predictive models to improve retention rates, reduce inventory holding costs, and increase conversion rates.

âš¡ Proficient in programming languages like Python and in using tools like Jenkins, Airflow, and Git for data pipeline development, version control, and CICD systems.

âš¡ Led my team to victory in the Smart India Hackathon (2020) and has experience in constructing systems like a loan monitoring system for risk management strategies and building automated trading setups using machine learning trading strategies.

Expert Full-Stack Developer and Machine Learning Specialist for Your Next Project

âš¡ Creating End-to-End Machine Learning Projects

âš¡ Building RESTful APIs in FastAPI & Django REST Framework

âš¡ Deploying Machine Learning models and websites on AWS and Herkou

Cloud Infra-Architecture

âš¡ Experience of working on multiple cloud platforms by deploying webapplication powered by machine learning

âš¡ Hosting and maintaining websites on virtual machine instances along with integration of databases

âš¡ Building CI/CD pipelines for automated testing & deployment using Github Actions

Proficiency

Machine Learning
93%
Data Science
96%
Backend
85%
Frontend
80%
Cloud
86%

Education

University at Buffalo
Master of Science in Data Science
August 2022 - December 2023Grade A

I am currently a full-time Graduate Research Assistant at the University at Buffalo, working on detecting fraud from accounting restatements and company filings in the EDGAR database, under the guidance of Dr. Haimonti Dutta and Dr. Sanjukta Das Smith.

  • EAS 502 - Introduction to Probability Theory for Data Science
  • EAS 501 - Introduction to Numerical Mathematics for Computing and Data Scientists
  • EAS 508 - Statistical Learning and Data Mining I
  • EAS 503 - Programming and Database Fundamentals for Data Scientists
  • EAS 509 - Statistical Learning and Data Mining II
  • CSE 574 - Introduction to Machine Learning
  • CSE 560 - Data Models Query Language
  • MGF633 - Investment Management
Vidyalankar Institute of Technology
Bachelor of Engineering in Computer Engineering
August 2018 - June 2022 Grade A

Participated in the research and published a paper.

  • CSC802 - Distributed Computing
  • CSC402 - Analysis of Algorithms
  • CSC403 - Computer Organization & Architecture
  • CSC405 - Operating Systems
  • CSC404 - Computer Graphics
  • CSC601 - Software Engineering
  • CSC502 - Database Management
  • CSC503 - Computer Networks
  • CSC601 - Software Engineering
  • CSC603 - Data Warehousing & Mining
  • CSC703 - Artificial Intelligence & Soft Computing
  • CSDLO7032 - Big Data & Analytics
  • CSDLO6021 - Machine Learning
  • CSDLO8012 - Natural Language Processing
  • ILO8022 - Finance Management

Experience

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Propael

Co-Founder
July 2023 – Present

Berkeley, California, United States
Co-founded Propael, a tech startup specializing in AI-driven career tools. Direct oversight of technology strategy and implementation.
  • Architected a scalable dual-backend using FastAPI and MERN stack, leading to a two-fold acceleration in development cycles.
  • Pioneered a multithreaded web scraping algorithm, reducing data collection time by 97%, thus significantly enhancing user experience.
  • Devised a CI/CD pipeline integrated with optimized Docker containers, ensuring seamless and faster build and deployment cycles.
  • Spearheaded the development of an AI-powered CRM tool, which lifted customer acquisition and retention rates by 30% through algorithmically tailored emails.
  • Formulated a Red-Amber-Green (RAG) grading architecture to authenticate the reliability of AI-generated cover letters, substantially increasing user trust.
  • Leveraged machine learning-based customer segmentation to deliver highly personalized and relevant job recommendations, enhancing user engagement.
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CYQIQ

ML/AI Software Engineer Intern
May 2023 – August 2023

Berkeley, California, United States
Interned as a Software Engineer focusing on ML/AI. Played a key role in shaping robust backend systems and implementing machine learning algorithms.
  • Developed a high-performance backend using FastAPI, focusing on system scalability and performance, ready for production deployment.
  • Orchestrated a full-stack technology suite featuring FastAPI, React.js, Next.js, Supabase, and Azure across multiple projects.
  • Implemented a resilient CI/CD pipeline using Docker, thereby streamlining cloud deployments and simplifying infrastructure management.
  • Integrated advanced langchain agents for natural language processing, achieving a ten-fold acceleration in data analytics tasks for CYQIQ Genie.
  • Employed Arize for real-time monitoring of Large Language Models (LLMs), thereby elevating system performance and reliability.
  • Designed Supabase database schemas following the Boyce-Codd Normal Form (BCNF) guidelines, enhancing data integrity and operational efficiency.
  • Constructed analytical dashboards utilizing complex data science algorithms, empowering the company to make informed business decisions.
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University at Buffalo

Graduate Research Assistant
January 2023 – Present

Buffalo, New York, United States
Participating in advanced research projects centered on fraud detection and data mining algorithms.
  • Designed and deployed a secure data lake to lay the foundational architecture for extended academic and industry-centric research.
  • Optimized data extraction algorithms, cutting processing time by over 50%, leading to more efficient research cycles.
  • Developed a sophisticated web crawler to streamline the collection of data for machine learning models.
  • Programmed CRON jobs to auto-refresh internal dashboards, aiding in real-time, data-driven decision-making for researchers and industry experts.
  • Engineered a collaborative ensemble model targeting fraud detection, by leveraging expert insights and state-of-the-art research methodologies.
  • Authored clear, concise documentation across all code repositories, facilitating faster onboarding for new team members and aiding future research endeavors.
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Computer Society of India, VIT Mumbai

Student Convener & Mentor
August 2021 – May 2022

Mumbai, Maharashtra, India
Led and mentored a team of 60 members, effectively doubling the size of active memberships within three months.
  • Exhibited strong leadership in managing a diverse team of 60 members, distributed across 13 different roles such as coordinators, managers, and assistants.
  • Initiated coding competitions and workshops each semester, leading to a significant increase in member engagement rates from 40% to 80%.
  • Secured sponsorships and funding by partnering with various local companies, thereby boosting the society's resources and offering enhanced opportunities to members.
  • Facilitated efficient team communication through regular updates and documentation, enabling precise instruction and streamlined strategy implementation.
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Computer Society of India

Chairperson
August 2020 – August 2021

Mumbai, Maharashtra, India
Oversaw a six-fold growth in student memberships and implemented strategic plans that elevated the organization's recognition.
  • Managed to grow the organization from 75 to 250 active members within 6 months.
  • Planned and executed conferences and workshops, establishing a strong presence at the university level.
  • Solved various organizational challenges through creative thinking strategies.
  • Enhanced student engagement through town hall meetings, enabling open dialogue between the executive board and the student body.
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Computer Society of India

Publicity Core
August 2019 – August 2020

Mumbai, Maharashtra, India
Managed publicity and successfully executed several marketing strategies to enhance the society’s visibility and engagement.
  • Created compelling graphics for activity posters and flyers, resulting in a 10% increase in membership enrollment.
  • Strategically grew the organization's social media following by 30% within two months across all platforms.
  • Organized seven high-attendance events, with an average turnout of 100+ attendees.
  • Mentored team members and ensured all projects were completed efficiently and within deadlines.

Projects

Accounting-and-Auditing-Enforcement-Releases-Web-Scraper

Unlock valuable insights from accounting and auditing enforcement releases effortlessly with my web scraper. Gain access to critical data, track regulatory actions, and stay informed. Simplify your research process and make data-driven decisions with my code.

Demo

University-at-Buffalo-Faculty-Web-Scraper

A Python web scraping tool to extract data from a faculty directory website. It retrieves faculty information like names, colleges, email addresses, subjects taught, and research topics. Data can be exported to CSV for further analysis. I have also published a blog on Medium that goes in depth and explains the code and the best practices to optimize scraping using concurrent features.

Demo

Movie-Recommender-System-FastAPI-React.js

I have built a powerful movie recommender system that uses content-based filtering. It's built with Python, FastAPI, and React.js, and has a clean and organized folder structure for easy contribution. The backend uses Pandas, NumPy, and scikit-learn, while the frontend uses React.js and axios.

Demo

House-Price-Prediction-CICD-Deployment

Built with Dockerfile for containerization and a Procfile for deployment on Heroku, this app uses a linear regression model and pickled files for optimal performance. Featuring CI/CD for reliable results, my app is built in flask where trained model and feature scaling information comes from the pickled files.

Demo

Algorithmic-Trading-and-Quantitative-Analysis

Performed web scraping using Beautiful Soup to extract equity, commodity, and forex data from APIs and fundamental data from websites, coded technical indicators to construct trading strategies, and performed backtesting using historical data and email alerts on AWS EC2 instance, built a fully automated trading setup using RESTful APIs integrating machine learning trading strategies on live data and performed Sentiment Analysis on Reddit, Twitter, and News posts leveraging cutting edge NLP algorithms such as BERT for sentiment classification and libraries including NLTK, VADER, TextBlob, and Scikit Learn.

Demo

Reinforcement-Learning-End-to-End

A thrilling treasure hunt awaits in this project! Explore the Treasure Hunt Environment, challenge the Random Agent, and witness the intelligence of SARSA and Q-Learning agents as they navigate the grid-world.

Demo

SMS-Spam-Classifier-Heroku-Deployment

Deployed on Heroku, this repository contains a machine learning model and web app for classifying text messages as 'spam' or 'ham'. With clear instructions and all necessary files included, deploying the app locally or on Heroku is straightforward. An ideal repository for recruiters seeking a skilled developer in machine learning & web development.

Demo

Are you interested in collaborating with me?

Please feel free to get in touch with me using the contact form provided below.

Please do not hesitate to contact me should you require my professional services.

If you are interested in discussing a project or would like to reach out, my inbox is always open and I am more than happy to connect with you.

I'm a AI/ML Software Engineer with substantial industry contributions, strong problem-solving and strategic planning skills, and a love for music.