Vignesh Manoharan

Product Engineer

Austin, Texas, United States6 yrs 7 mos experience

Highly Stable

Key Highlights

PhD candidate specializing in distributed graph algorithms.
Expertise in fault-tolerant distributed systems.
Experience in developing AI-driven applications.

Stackforce AI infers this person is a highly skilled researcher in AI and distributed systems with a focus on EdTech and advertising technology.

Contact

Skills

Core Skills

Graph AlgorithmsDistributed SystemsNatural Language ProcessingLarge Language ModelsDeep LearningComputer NetworkingFull-stack DevelopmentBack-end Web Development

Other Skills

Agile Project ManagementAlgorithm DesignAndroidAngularJSBERT (Language Model)C++Computational ComplexityComputer VisionDatabasesDistributed ComputingFault ToleranceGoGraph TheoryJavaScriptLarge Language Models (LLM)

About

I am a PhD Candidate in Computer Science at the University of Texas at Austin nearing completion of my thesis on distributed graph algorithms, set to graduate in 2025. I am advised by Dr. Vijaya Ramachandran, a distinguished professor in the Department of Computer Science at UT Austin. My journey began at the Indian Institute of Technology Madras, where I completed a dual degree (B.Tech + M.Tech) in Computer Science from 2014-2019. At IIT Madras, I worked under Dr. Jayalal Sarma, focusing on algorithms for group isomorphism problems. My current research primarily centers on graph algorithms and fault tolerance, with a particular emphasis on parallel and distributed models of computation. My focus is on algorithmic foundations for large-scale distributed systems that remain fast and resilient in the face of network failure. I also address fundamental graph problems in distributed computing, specifically within the CONGEST model, where communication bandwidth is limited. My research on fault-tolerant distributed systems and efficient network algorithms is highly relevant to modern large-scale computing systems, including distributed systems, cloud computing, and network infrastructure.

Experience

Stealth ai startup

Consultant Developer

Aug 2025 – Oct 2025 · 2 mos · Austin, Texas, United States · On-site

Engineered a document parsing module leveraging both LLM-based and NLP-based methods. Developed algorithms to automate human processes with great results.

Large Language Models (LLM)Natural Language Processing (NLP)PythonDeep LearningPyTorchBERT (Language Model)+2

The university of texas at austin

2 roles

PHD Candidate

Promoted

Jan 2025 – Present · 1 yr 2 mos

Key Research Areas:
Distributed Graph Algorithms: Specializing in the CONGEST model of distributed computing
Fault-Tolerant Systems: Developing algorithms that maintain functionality when network components fail
Shortest Path Problems: Including replacement paths and distance sensitivity oracles
Parallel Algorithms: Designing efficient algorithms for shared-memory parallel machines (PRAM)
Established near-optimal bounds for fundamental distributed graph problems, providing both upper bound algorithms and lower bound proofs. My contributions address important graph problems that were previously unstudied in the distributed CONGEST model, filling important gaps in the literature.

Graph AlgorithmsDistributed SystemsParallel AlgorithmsAlgorithm DesignComputational ComplexityGraph Theory+2

Graduate Research Assistant

Aug 2019 – Present · 6 yrs 7 mos

Theory of ComputationGraph Algorithms

Microsoft

Research Intern

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

Worked in Bing Ads team, on advertising analytics and click prediction. Developed deep learning models for image captioning, to better capture the effect of visual features of advertisements on click through rate. Designed efficient and recoverable training pipelines.

Deep LearningComputer VisionMachine Learning

Indian institute of technology, madras

Research Intern

Jun 2016 – Aug 2016 · 2 mos · Chennai Area, India

Research intern at Network Systems Lab, IITM.
Worked on next generation internet architectures.

Computer Networking

Quabl

Developer

Apr 2015 – Nov 2015 · 7 mos · Chennai, Tamil Nadu, India

Worked on EdTech products: Developed a collaborative note sharing app; Developed a unified student identity API to serve other higher education apps. Worked on acquiring and processing student data.

Full-Stack DevelopmentDatabasesJavaScriptPython