Tejesh Krishnammagari

Product Manager

Bengaluru, Karnataka, India5 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Developed innovative web applications at Intel.
Led a team to enhance IP delivery efficiency.
Researched machine learning for healthcare applications.

Stackforce AI infers this person is a Fullstack Developer with a focus on SaaS and Healthcare solutions.

Contact

Skills

Core Skills

JavascriptFlaskMachine LearningRandom Forest

Other Skills

JenkinsReact JSMicrosoft SQL ServerMongoDBTypeScriptPythonREST APIsC#AngularASP.NET MVCCloud FoundryWeb DevelopmentMySQLCNN mdrpSupport Vector Machine (SVM)

About

I create secure full-stack solutions and smart automations to protect and process intellectual property at Intel. I’m an absolute learner and problem solver.

Experience

5 yrs 9 mos

Total Experience

2 yrs 10 mos

Average Tenure

4 yrs 9 mos

Current Experience

Intel corporation

4 roles

Senior IP Enablement Engineer

Feb 2026 – Present · 3 mos

IP Enablement Engineer

Aug 2025 – Feb 2026 · 6 mos

Software Application Development Engineer

Jun 2022 – Aug 2025 · 3 yrs 2 mos

Developed innovative web applications and automation tools that addressed challenges in IP delivery , leveraging AI for enhanced efficiency.
Led a dynamic team of developers and interns, fostering a collaborative environment focused on learning and problem-solving.
Implemented cutting-edge technologies, resulting in a 30% increase in project delivery speed and improved stakeholders satisfaction.

JavaScriptFlaskJenkinsReact JSMicrosoft SQL ServerMongoDB+7

Graduate Intern Technical

Aug 2021 – Jun 2022 · 10 mos

Developed backend scripts in Python for efficient data processing and analysis, enhancing data handling capabilities.
Created user-friendly frontend applications to streamline critical data processing tasks, improving workflow efficiency.
Ensured comprehensive documentation of projects,

JavaScriptFlaskReact JSWeb DevelopmentMicrosoft SQL ServerMongoDB+8

Techciti technologies private limited

ML Research Intern

Apr 2020 – May 2020 · 1 mo

Researched and developed a machine learning pipeline for early detection of bipolar disorder in patients and healthy siblings.
Designed and trained predictive models using algorithms such as Random Forest, SVM, and Logistic Regression on clinical datasets.
Presented the research at the International Semantic Intelligence Conference 2021 hosted by the University of Lübeck, Germany.
Collaborated with a cross-functional team to implement, test, and validate model performance and ensure reproducibility.

Machine LearningRandom ForestJavaScriptFlaskCNN mdrpWeb Development+4

Ieee npss vit chapter

2 roles

Public Relations Chair

Promoted

Jul 2019 – Mar 2020 · 8 mos

In my role as the Public Relations Chair at IEEE NPSS VIT Chapter, I successfully led communication and outreach efforts to enhance the chapter's visibility and engagement within the community.
Developed and implemented strategic initiatives to promote the chapter's mission.
Coordinated impactful events and campaigns to increase community involvement.

Core Committee member

Mar 2019 – Jul 2019 · 4 mos

Government of andhra pradesh

District Coordinator - Digital Literacy Program

May 2018 – Jun 2018 · 1 mo · Chittoor, Andhra Pradesh, India

Coordinated donor engagement to enhance digitalization in government schools across the district.
Facilitated access to technology and digital resources, positively impacting educational outcomes.
Collaborated with various stakeholders to ensure effective implementation of the Digital Literacy Program.