Chaitanya Basava Email & Phone Number

Dallas, Texas, United States

Richardson, Texas, United States

- Developed an object detection module to fetch the stalled vehicle count at different DALI-enabled traffic intersections using PyTorch, Ultralytics libraries, and YOLOv9 in Python, improving traffic monitoring speed by 45%- Deployed a 16-bit quantized Llama 2 7B model as an endpoint in a Spring Boot application, leveraging DJL and ONNX Runtime to compare against the current DALI agents, achieving 100ms latency with 50% less memory usage- Working under the guidance of Dr. Rym Zalila Wenkstern

Richardson, Texas, United States

- Contributed to the success of the CS Outreach program by collaborating effectively with instructors and staff, proactively addressing and resolving issues, and strictly adhering to disciplinary guidelines.- Educated and inspired numerous aspiring students in the dynamic field of computer science, introducing them to the latest technologies and practical applications.Courses taught:- Object Oriented Programming in Java- Programming contest problems- Maths & Scratch- Enjoyable coding with Alice

Chennai, Tamil Nadu, India

Conducted weekly classes for the students of GUVI's machine learning and data engineering courses. Taught concepts in python, machine learning and spark from scratch during this tenure

Bengaluru, Karnataka, India

- Designed PyTorch model serving capability within the Spring Boot codebase using the Deep Java Library for our in-house data science platform (DSP), enabling PyTorch integration for production serving and reduced TensorFlow model memory usage by 30%- Implemented robust platform cost monitoring mechanisms, leading to a significant reduction in the Data Science team's compute usage by approximately 45%- Developed comprehensive model observability tool, enabling effective performance and drift tracking for 80+ live production data science models- Automated Kafka topic creation and data pipeline generation for processing model logs on DSP, improving deployment time by 80%- Optimized 100+ Spark workloads for feature engineering and data analysis jobs, reducing Databricks costs by 40%

Bengaluru, Karnataka, India

- Expanded the reach of smart push notifications to 20 million users, while drastically reducing Spark job runtime from 9 hours to 2 hours and cutting compute costs by ~75% (from $688.74 to $166.84). This resulted in a daily order increment of 117.6 on average and a 14% decrease in push notification uninstall rates- Improved the spell correction TensorFlow model inference time to under 100ms, successfully tested at a load of 1000 requests per second- Developed a proof-of-concept (POC) for an insights dashboard aimed at providing actionable competitor insights to restaurant partners

Bengaluru, Karnataka, India

- Led the development and integration of a Visual Search Engine Tool into Stylumia’s C.IT product. This included automating data ingestion pipelines using AWS SQS and creating a backend micro-service using ElasticSearch and FastAPI, that supports a 99th percentile response time (p99) of 30ms at a peak throughput of 1200 requests per second- Automated the image-tagging process for customer-specific report generation, cutting lead time by 50% and resulting in an 18% increase in customer conversion rate

Bengaluru, Karnataka, India

- Created an algorithm to predict water percentage, age, and weight from a potato’s image using attention-based image segmentation- Integrated the algorithm into an internal food quality assessment tool being prototyped at Siemens, utilizing Django and Docker for seamless operation

- one of the 8 TA's for the Object-Oriented Programming course offered for the 2nd year students in my college

Bengaluru, Karnataka, India

- Contributed to the development of the chatbot feature on Flutura's Cerebra platform. The project utilized the Django REST framework, PostgreSQL, and DialogFlow for the backend, and Angular for the frontend- Responsible for adding new features and managing existing dialogue options in the backend part of the project

- one of the 3 TA's for the Computer Networking course offered for the 2nd year students in my college

- one of the 4 TA's for the Maths-III (probability theory and complex numbers) course offered for the 2nd year students in my college.

Masters, Computer Science, 4.0/4.0

Fall 2023 - Machine Learning - Database Design - Advanced OS Spring 2023 - Design and Analysis of Algorithms - Data Structures.

Bachelor Of Technology - Btech, Electrical, Electronics And Communications Engineering, 8.66/10.00