Hemanth Kumar Tirupati

Software Engineer

Minneapolis, Minnesota, United States3 yrs 2 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in developing scalable distributed systems.
Proven track record of optimizing cloud applications.
Strong background in AI and machine learning technologies.

Stackforce AI infers this person is a Cloud Computing and AI specialist with extensive experience in scalable systems development.

Contact

Skills

Core Skills

Operating SystemsDockerCloud ComputingDistributed SystemsMachine LearningDeep LearningMicrosoft AzureC#PythonWeb Development

Other Skills

DebianLinuxDatacenter NetworkingRust (Programming Language)Computer NetworkingSonicAmazon QuickSightJavaAmazon Elastic MapReduce (EMR)Apache SparkMapReduceExtract, Transform, Load (ETL)Amazon RedshiftHadoopAmazon CloudWatch

About

As a Computer Science Professional passionate about building scalable systems with past working experience at Amazon Web Services and Microsoft I am actively seeking opportunities starting [December 2024]. Please reach out if there are potential opportunities. [Areas of Expertise] [Systems]: SONIC NOS, Linux Kernel, Docker, Operating Systems, Computer Networking [Distributed Systems and Cloud]: Proficient with Hadoop MapReduce and Spark. AWS and Azure Cloud. Docker and Kubernetes. [Parallel Computing]: OpenMP, Open MPI, CUDA, pthreads [Distributed Deep Learning Inference and Training]: Hands-on experience of deploying and scaling AI workloads in production using Ray framework. Significant understanding of developing Systems for AI - Megatron, Alpa, vLLM, DeepSpeed [AI]: Proficient with PyTorch, NumPy, Scikit-Learn and Pandas. LLM Fine-tuning, HuggingFace, NLP and Deep Learning.

Experience

3 yrs 2 mos

Total Experience

1 yr

Average Tenure

1 yr 4 mos

Current Experience

Nvidia

Systems Software Engineer II

Feb 2025 – Present · 1 yr 4 mos · Redmond, Washington, United States · On-site

Develop SONIC Network Operation System.

DockerOperating SystemsDebianLinuxDatacenter NetworkingRust (Programming Language)+2

Amazon web services (aws)

Software Development Engineer Intern

May 2024 – Aug 2024 · 3 mos · Seattle, Washington, United States · On-site

Optimized petabyte-scale Hadoop, Spark jobs, and underlying algorithms for Amazon Redshift backups, achieving 50-90% runtime reduction and saving over $5 Million annually in AWS EMR and EC2 costs.
Extensively worked on developing, performance tuning and deploying highly scalable and efficient petabyte-scale applications using Hadoop MapReduce and Spark on large clusters. Developed an AWS QuickSight Dashboard to monitor region-wise daily node-hours consumed across all Hadoop and Spark application clusters.
Led stakeholder meetings and collaborated with cross-functional teams to produce a comprehensive design document detailing system architecture and comparing optimization proposals. Took ownership to dive deep and unblock production deployment pipelines.

Amazon QuickSightJavaDistributed SystemsAmazon Elastic MapReduce (EMR)Apache SparkMapReduce+7

University of minnesota department of computer science & engineering

Research Assistant

Dec 2023 – May 2024 · 5 mos · Minneapolis, Minnesota, United States · On-site

• Applied various statistical and Deep Learning Methods to analyze and predict disease from walking and voice data of Parkinson’s patients using various Python frameworks like PyTorch, Numpy, Pandas, and Scikit-Learn. Achieved an accuracy of 85%.

Machine LearningDeep LearningNatural Language Processing (NLP)NumPyPython (Programming Language)PyTorch+1

Microsoft

2 roles

Software Development Engineer

Jul 2017 – Sep 2018 · 1 yr 2 mos · Greater Hyderabad Area · On-site

Developed voice skills for Cortana as RESTful microservices utilizing ASP.NET, Object Store, and SQL. Engineered systems for millisecond latency, high availability and resilience using cross-regional data and microservice replication on Azure Cloud. Exploiting data locality cut our service latency by half.
Trained a conversational language understanding model and integrated it into Cortana skills for intent classification and entity identification from user’s voice input

C#Unit TestingAzure Cosmos DBAzure Service FabricAzure SQLMicrosoft Cognitive Services+6

Intern

May 2016 – Jul 2016 · 2 mos · Greater Hyderabad Area

Developed a prototype feature for Bing Search that displayed relevant code snippets in search results for developer queries.
Built a binary classification model using Azure ML and CosmosDB to detect snippetable Stack Overflow pages. Created novel method for representative snippet selection using clustering and software similarity techniques like unigram similarity with Jaccard index.

PythonScikit-LearnC#Azure Cosmos DBMicrosoft Azure Machine LearningPython (Programming Language)+1

Godot media

Internship

Dec 2014 – Jan 2015 · 1 mo · Bangalore, India

Implemented keyword-based search functionality to return a ranked list of related documents for a user-defined query. Also worked on categorization of various articles based on keywords to improve article relevance.

PythonDjangoNLTKWeb Development

Iit madras

Co-ordinator of web operations

Sep 2014 – May 2015 · 8 mos · CHENNAI

◦ As a part of Institute Web Operations created a web portal - BUYNSELL where the strong user base (approx. 10000) of IITM could buy and sell various products.
◦ The portal was built on LAMP Stack based back-end.

PHPLAMPMySQLWeb Development