Praveen Kumar M.

Praveen Kumar M. Email and Phone Number

Software Engineer @ Silicon Assurance
Austin, TX, US
Praveen Kumar M.'s Location
Austin, Texas, United States, United States
About Praveen Kumar M.

I am a highly motivated and detail-oriented Software Engineer with 3 years of experience in full-stack development, machine learning, and AI. I excel at designing and implementing efficient solutions to complex technical challenges. My expertise includes developing AI-driven tools, integrating advanced models like Llama2 and RAG, and automating workflows to optimize efficiency.My technical skill set includes programming languages such as Python, Java, C++, and JavaScript, along with frameworks like React, Django, and Flask. I am adept at building intelligent applications leveraging Machine Learning, Deep Learning, NLP, and Generative AI technologies, using tools like TensorFlow, PyTorch, Hugging Face, and Langchain.In addition, I bring strong expertise in databases (MongoDB, PostgreSQL, Redis), DevOps tools (AWS, Docker, Kubernetes, Terraform), and testing frameworks (PyTest, JUnit). I am experienced in agile development environments and have a proven track record of delivering scalable, robust, and impactful solutions.Passionate about pushing boundaries in AI and software development, I’m always eager to collaborate on challenging projects that make a difference. Let’s connect to explore opportunities!

Praveen Kumar M.'s Current Company Details
Silicon Assurance

Silicon Assurance

View
Software Engineer
Austin, TX, US
Praveen Kumar M. Work Experience Details
  • Silicon Assurance
    Software Engineer
    Silicon Assurance
    Austin, Tx, Us
  • Cirrus Logic
    Software Engineer Intern
    Cirrus Logic May 2024 - Dec 2024
    Austin, Texas, United States
    *Developed a Version Analysis Tool using Verible and Perforce, enabling efficient categorization and search of SystemVerilog code changes, improving hardware verification workflows.*Implemented AI-driven risk assessment with LLama2-13B and RAG, correlating bugs with code changes to enhance automation and accuracy in identifying vulnerabilities.*Designed a full-stack AI Assistant for automating verification requirements using NLP techniques, React, Django, and Pydantic, enabling interactive refinement through a chat interface.*Automated bug traceability by integrating JIRA and Perforce, linking code changes to historical SystemVerilog fixes for improved validation and debugging.*Optimized application performance with multiprocessing, enhancing scalability and reducing latency, and improved software quality with a robust test framework.
  • Texas A&M University College Of Engineering
    Student Assistant
    Texas A&M University College Of Engineering Feb 2024 - May 2024
    College Station, Texas, United States
  • Texas A&M University
    Software Developer
    Texas A&M University May 2023 - Dec 2023
    College Station, Texas, United States
  • Texas A&M University College Of Engineering
    Student Worker
    Texas A&M University College Of Engineering Mar 2023 - May 2023
    College Station, Texas, United States
  • Accenture
    Advanced App Engineering Senior Analyst
    Accenture Dec 2022 - Jan 2023
    Hyderabad, Telangana, India
    ∗ AI Services: Executed multi-threading and caching mechanisms for similarity analytics, sentiment detection, and textsummarization to optimize code and improve application performance by 40%.∗ Virtual Agents: Analyzed issues in virtual agents (chat-bot) responses, modifying training data and retrainingmodels with Spacy with Intent Classification and Entity Extraction, resulted in a 56% increase in efficiency.∗ Productivity Tool(IPOP): Created cosine similarity in IPOP, resulting in more efficient ticket categorization with asuccess rate of 95% compared to frequency-based technique and deployed using docker.
  • Accenture
    Advanced App Engineering Analyst
    Accenture Sep 2020 - Nov 2022
    Bengaluru, Karnataka, India
    Inference Engine(IE): Led the design and implementation of IE using ML techniques and inferential statistics togenerate insights from bulk data, resulting more accurate and actionable information with 87% efficiency.∗ Self Service AI: Accomplished Thai language support for classification and regression models with fasttext libraryresulting in an 62% increase in efficiency, and developed encryption scripts for DB, reducing security risks by 14%.∗ Platform Optimization: Migrated platform’s architecture to Docker environment and devised automated pythonscripts for compiling code through pipeline, reducing deployment overhead by 32%.

Praveen Kumar M. Education Details

Frequently Asked Questions about Praveen Kumar M.

What company does Praveen Kumar M. work for?

Praveen Kumar M. works for Silicon Assurance

What is Praveen Kumar M.'s role at the current company?

Praveen Kumar M.'s current role is Software Engineer.

What schools did Praveen Kumar M. attend?

Praveen Kumar M. attended Texas A&m University, National Institute Of Technology Raipur, Sasi Educational Institute.

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