Aug 2024 – Present · 1 yr 10 mos · Tucson, Arizona, United States · On-site

• Developed Autism Spectrum Disorder Diagnostics web application using Python Flask, HTML/CSS & JavaScript in the DeepTarget NLP research group to detect childhood autism from Electronic Health Records(EHR).
• Deployed and maintained the web application on AWS EC2 infrastructure.
• Optimized python code to remove unnecessary computations and improve the API response time by 10x.
• Scaled Autism Diagnostics API by packaging the application into docker containers.
• Developed Medical Text Simplification Interface using Java, Springboot, HTML/CSS & JavaScript.
• Integrated ChatGPT into the application using LLM Prompt Engineering Techniques.
• Improved the text simplification with options to tailor the simplified text to different personas.
• Learnt systematic research skills.

Jan 2024 – Jul 2024 · 6 mos · Hyderabad, Telangana, India · On-site

• Deployed Open-source LLMs with efficient autoscaling on multi-GPU AWS infrastructure using ray framework and FastAPI.
• Coupled Fine-tuned Llama3 into the company workflow, replacing ChatGPT, reducing overall cost to company.
• Deployed git remote server in AWS EC2 to enhance existing development processes securely.

Aug 2023 – Jan 2024 · 5 mos · Hyderabad, Telangana, India · On-site

• TEFAR: An Efficient Transparent Finer-grained Encryption of Internet Access Artifacts (IEEE COMSNETS IIGW, Jan 2024)
• Crafted an efficient way of encrypting and storing Internet Log data in a Big Data system for preserving the privacy of users while meeting Forensic-readiness regulatory requirements.
• Received Best Paper Award at the IEEE COMSNETS IIGW, January 2024

Jun 2022 – Jan 2024 · 1 yr 7 mos · Greater Bengaluru Area · On-site

• Achieved a 30-minute update intervals with a low 50ms latency by building a real-time app-based business analytics data querying system using Apache Pinot.
• Utilized PySpark for data transformation, aggregation, and ingestion.
• Collaborated with Frontend developers, Data platform team and Data Analysts to accomplish the project goals.
• Enhanced system reliability by erasing discrepancies in delivery partner joining and referral bonus processes, resulting in 100% reduction of data mismatches between microservices.
• Improved fraud detection with a real-time ML model that processed 16,000 rpm at 500ms latency, leveraging Amazon SQS and Shoryuken for efficient asynchronous data handling, while maintaining minimal lag.
• Implemented real-time monitoring with updates every 100ms by integrating Prometheus metrics through a statsd sidecar or a microservice written in go and configuring Grafana for service sanity tracking.
• Reduced app request timeouts from 10% to 1% by parallelizing third-party API calls using goroutines.
• Increased system reliability by migrating Online Kafka usage across multiple microservices to Confluent’s Kafka cluster with 100% service uptime.
• Communicated with multiple teams across the company to ensure the safe Kafka migration in services

May 2021 – Jul 2021 · 2 mos · Hyderabad, Telangana, India

• Implemented Google Recaptcha v3 in PHP, JavaScript, JQuery for the registration form of the website to reduce spam.
• Developed an Android App to register patients and store the data in excel sheets using Flutter.
• Coordinated and adapted to changing business goals to meet the customer requirements.
• Learned new programming language Dart and Flutter framework quickly within 7 days.