C

Chaitanya Rajesh Banala

Software Engineer

New York, New York, United States4 yrs 8 mos experience
Most Likely To Switch

Key Highlights

  • Expert in backend development and microservices.
  • Proven track record in optimizing performance and reducing latency.
  • Strong foundation in machine learning and data science.
Stackforce AI infers this person is a Backend Developer with expertise in Fintech and SaaS industries.

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Skills

Core Skills

Back-end Web DevelopmentC++MicroservicesAwsData ScienceDeep LearningComputer VisionAndroid DevelopmentWeb DevelopmentApi Development

Other Skills

.NET FrameworkC#Machine LearningGo (Programming Language)KubernetesPython (Programming Language)JavaAmazon Web Services (AWS)PyTorchOperating SystemsAndroid SupportReact.jsDjangoNeural NetworksArtificial Neural Networks

Experience

4 yrs 8 mos
Total Experience
2 yrs 4 mos
Average Tenure
2 yrs 10 mos
Current Experience

Quantifi, inc.

Software Developer

Jun 2023Present · 2 yrs 10 mos · New York City Metropolitan Area · On-site

  • Built and owned backend services for a real-time trading and risk platform supporting institutional clients, focusing on throughput, fault tolerance, and low-latency execution.
  • Migrated historization from binary AuditLogs to structured History Tables, cutting query latency by 70% and removing
  • deserialization overhead.
  • Re-architected batch risk computation into a real-time streaming system, reducing PnL computation latency from 20
  • minutes to under 2 minutes.
  • Reduced high-volume trade latency by 60% by multithreading and optimizing the file importer module.
  • Improved Risk Engine stability and memory efficiency by profiling and eliminating performance bottlenecks.
  • Modernized CRMS UI frameworks and delivered new data models to meet evolving client requirements.
C++.NET FrameworkC#Back-End Web Development

Mathworks

Software Engineer Intern

May 2022Aug 2022 · 3 mos · Boston, Massachusetts, United States

  • Devised containerized micro-services in a distributed environment hosted on Kubernetes with 100 % unit test coverage.
  • Added Prometheus metrics for monitoring number of incoming requests and message latency between services.
  • Implemented Data throttling support to MATLAB Online Stateless with a traffic of 15 M user requests per day.
  • Devised an eventually consistent mechanism and distributed caching across clusters to sync up from centralized DB.
  • Engineered a robust framework for deployment pipeline allowing users to deploy MATLAB code as a serverless application on AWS S3 in as little as 20 ms.
Machine LearningGo (Programming Language)KubernetesPython (Programming Language)MicroservicesJava+4

Amazon web services (aws)

Graduate Student Researcher

Jan 2022May 2022 · 4 mos · Remote

  • Evaluated latest techniques including Informer, Log Sparse Attention for Time Series Forecasting on M4 Dataset for a sequence length of 200-250 and forecast lengths varying between 20-150.
  • Improved inference time from 1.9 sec to 0.09 sec with model based on Longformer run on an NVIDIA Tesla K80 GPU.
  • Leveraged 1D convolution filter, Sparse Attention techniques to drastically improve model performance on M4 Dataset.
  • Outperformed AWS’s naive Forecasting performance by 40% measured in terms of MAE
C++PyTorchData SciencePython (Programming Language)Deep Learning

Samsung electronics

Software Engineer

Jun 2018Apr 2020 · 1 yr 10 mos · Noida, Uttar Pradesh, India

  • . Responsible for leading a team of 14 members and integrating latest features such as HDR, and SSM in HAL layer of camera module in Flagship devices.
  • Optimized modules in the HAL layer written in C++ to eliminate memory and latency issues during code upgrades.
  • Developed on-device ML models related to Computer Vision and modified the camera pipeline for faster throughput.
C++Operating SystemsAndroid DevelopmentAndroid SupportPython (Programming Language)Deep Learning+1

J.p. morgan

Software Development Intern

May 2017Jul 2017 · 2 mos · Bengaluru Area, India

  • Refactored codebase and redesigned APIs for the Asset Management App with an effective reduction of latency by 30%.
  • Created a Web App as an extension with interactive graphs and real-time trade metrics using Athena Framework and
  • ReactJS. Modified APIs in the Python Backend for handling real-time display of trade metrics.
React.jsAPI DevelopmentPython (Programming Language)DjangoWeb Development

Novanet

Intern

Dec 2015Dec 2015 · 0 mo · Mumbai Area, India

  • Researched on Messaging Protocols

Education

University of Massachusetts Amherst

Master's degree — Computer Science

Sep 2021May 2023

Indian Institute of Technology, Bombay

Bachelor's degree — Computer Science

Jul 2014May 2018

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