tejaswi kichhannapally

Software Engineer

Hyderabad, Telangana, India3 yrs 5 mos experience

Key Highlights

  • Developed advanced machine learning models for malware detection.
  • Created seamless integrations for enhanced user productivity.
  • Proficient in a wide range of programming languages and frameworks.
Stackforce AI infers this person is a Machine Learning and Software Development expert in SaaS and Cybersecurity industries.

Contact

LinkedIn

Skills

Core Skills

JavaCloud ComputingMachine LearningDeep Learning

Other Skills

AWS CloudAlgoAlgorithm DesignAlgorithm DevelopmentAlgorithmic TradingAlgorithmsAndroid StudioApplication Programming Interfaces (API)Automated TradingAutomationBERT (Language Model)BacktestingBootstrap (Framework)C++CSS

Experience

3 yrs 5 mos
Total Experience
1 yr 9 mos
Average Tenure
11 mos
Current Experience

Google

2 roles

Application Engineer

Jul 2025 – Present · 11 mos · Bengaluru, Karnataka, India · On-site

Application Engineer

May 2024 – Jul 2024 · 2 mos · Bengaluru, Karnataka, India · On-site

  • Developed a Google Docs integration feature for an internal project planning tool, allowing users to download a Docs template, add information, and import OKRs from that Google Docs to the website.
  • Implemented the import functionality using Java,Stubby,Gaia, Guice, CloudTop, RPC service, Groovy, HTML,CSS,Docs API, enhancing the user experience and streamlining the OKR management process.
  • Designed a user-friendly interface with a dialog box for entering document URLs, ensuring seamless data import using REST endpoints and improving productivity for end-users.
JavaStubbyGaiaGuiceCloudTopRPC service+5

Cyberguard360

Machine Learning Research Intern

Jun 2023 – Jun 2024 · 1 yr · Hyderabad, Telangana, India · On-site

  • Developed a Federated Learning model using Deep learning models like MLP and other machine learning models such as
  • XGBoost with multiple real time clients to predict unknown malware samples with a recall of 97 percent
  • Worked on Developing an app using kotlin,android studio which will connect real time clients to server using ip address.
  • The local model is deployed in the app using AWS Cloud,TensorFlow,PyTorch
Deep LearningMLPXGBoostKotlinAndroid StudioAWS Cloud+3

Codess.cafe

Mentee

Jan 2023 – Jul 2025 · 2 yrs 6 mos

Education

Keshav Memorial Institute of Technology

Bachelor of Technology - BTech — Computer Software Engineering

Jan 2021 – Jan 2025

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