S

Suryanarayanan Ananthakrishnan

Software Engineer

Bengaluru, Karnataka, India3 yrs 10 mos experience
Highly Stable

Key Highlights

  • Prototyped techniques for LLM document processing.
  • Designed outage notification systems using Azure technologies.
  • Developed machine learning evaluation metrics for production.
Stackforce AI infers this person is a Software Engineer with a focus on AI and Machine Learning.

Contact

LinkedIn

Skills

Core Skills

Large Language Models (llm)Machine Learning

Other Skills

BlenderC (Programming Language)C++Cascading Style Sheets (CSS)Deep LearningHTML5InkscapeJavaJavaScriptMySQLNode.jsPaintingPython (Programming Language)SketchingWeb Development

Experience

Google deepmind

Software Engineer Intern

May 2025 – Aug 2025 · 3 mos · Mountain View, California, United States · Hybrid

  • Prototyped and studied techniques to improve the way PDF documents are presented to LLMs, involving the creation of evaluation datasets, an evaluation pipeline, and studying the performance and latency implications of various extraction techniques
Large Language Models (LLM)Machine LearningPython (Programming Language)

Microsoft

3 roles

Software Engineer

Aug 2021 – Jul 2024 · 2 yrs 11 mos · Hyderabad, Telangana, India

Software Engineer Intern

Jan 2021 – Jun 2021 · 5 mos · India

  • Worked on Health Visualization and monitor Organization for a service fabric based infrastructure framework

Software Engineer Intern

May 2020 – Jul 2020 · 2 mos · Bengaluru, Karnataka, India

  • Designed and implemented an extensible outage notification system that detects impacts on services by studying underlying outage logs. Then extended the system to create a web based dashboard. The project involved a plethora of Azure technologies | Data explorer, Event hubs, Functions, App services
  • Domains: Site Reliability Engineering, Software Engineering, Web development

Hpcc systems

Project Intern

May 2019 – Aug 2019 · 3 mos · Greater Bengaluru Area

  • Design and implementation of additional Machine Learning Evaluation Metrics for the HPCC Systems platform production Machine Learning library.
Machine Learning

Education

University of Southern California

Master of Science - MS — Computer Science

Aug 2024 – Present

RV College Of Engineering

BE - Bachelor of Engineering — Computer Science

Jan 2017 – Jan 2021

Kendriya Vidyalaya

AISSCE — Science

Jan 2015 – Jan 2017

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