Kavya Mrudula Malla

AI Researcher

Bengaluru, Karnataka, India6 yrs 9 mos experience
Highly Stable

Key Highlights

  • Awarded IBM Spark Award and Consulting Growth Award.
  • Expertise in Time Series Analysis and NLP.
  • Led significant projects at IBM and Qualcomm.
Stackforce AI infers this person is a Data Scientist with expertise in SaaS and Machine Learning.

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Skills

Core Skills

Machine LearningData AnalysisTime Series ModellingOperating SystemsFront-end Development

Other Skills

CC (Programming Language)C++Deep LearningDesign ThinkingExploratory Data AnalysisJavaLeadershipMLOpsMicrosoft ExcelMicrosoft PowerPointNatural Language Processing (NLP)PySparkPythonQuantum Computing

About

I am Kavya Malla, a Data Scientist with a background in Computer Science from IIT Madras. Passionate about Time Series Analysis, Text Summarization, and NLP, I also enjoy Python Development, Problem Solving, and Design Thinking, with a keen interest in MLOps. Recognized with awards like the IBM Consulting Growth Award and the IBM Spark Award, I am a Certified SAFe Agilist and Microsoft Certified in Azure AI Fundamentals. With expertise in Python, Pandas & Polars, Scikit-Learn, and TensorFlow, I have contributed to projects like a Intelligent Talent optimization for Workforce management and a Demand and Inventory planner at IBM, and boot time improvement on MDM devices at Qualcomm during my internship. My academic background includes a Masters and bachelor's in technology (Dual Degree) from IIT Madras, with projects like an Othello Playing Bot and Proxy, an Attendance Assistant using Face Recognition APIs. I am enthusiastic about applying my skills to drive innovation in Data Science and Machine Learning. Connect with me to discuss opportunities in these areas!

Experience

Google

SWE - ML

Feb 2026Present · 1 mo · Bengaluru, Karnataka, India · Hybrid

Software DevelopmentMachine Learning

Ibm

Data Scientist

Jul 2019Feb 2026 · 6 yrs 7 mos · Bengaluru Area, India · Hybrid

  • I played a key role in the North Star Work Force Management System, where I led the development of a comprehensive Pipeline framework, akin to Kedro, facilitating seamless data processing and modeling. I conducted regular code maintenance and reviews, implemented LSTM and Markov models for Sparse and Dense Time Series, resulting in a performance improvement of 2-3%. Additionally, I optimized and scaled various code bases, achieving significant runtime enhancements of 60-80%. My responsibilities also included leading design reviews for new features, thereby enhancing stakeholder confidence in the product. In the Skywise enterprise data integration platform, I developed a Demand and Inventory planner, receiving positive feedback from potential clients. Furthermore, I provided support to users in analyzing various aspects of the A&D space, including aircraft, inventory, maintenance, and sensor data, showcasing my expertise in data analysis, PySpark, and Python. My key skills in this role encompassed Time Series Modelling, MLOps, Design Thinking, Leadership, Data Analysis, PySpark, and Python. I have been awarded IBM Spark Award 2021, IBM Best Graduate Hire 2020, IBM Consulting Growth Award 2022.
PythonQuantum ComputingData AnalysisPySparkTime Series ModellingMLOps+2

Qualcomm

Summer Intern

May 2017Jul 2017 · 2 mos · Hyderabad Area, India · On-site

  • As a Boot Team Intern at Qualcomm, I focused on improving boot time on MDM devices through the implementation of Parallel Load and Hash for NAND Boot. I devised a device-agnostic non-blocking mode solution to load segments from Flash into Memory, and parallelized hash checking and segment loading using concepts from DMA. These efforts resulted in significant improvements in boot time, reducing it by 0.6s-1s on different targets using the same code. This experience honed my skills in DMA, Operating Systems, and C programming.
COperating Systems

Sportscafe

Summer Intern

May 2016Jul 2016 · 2 mos · Bangalore · On-site

  • During my internship at Sportscafe, I contributed to revamping their website's new version. I utilized cutting-edge technology such as React to achieve this task, showcasing my proficiency in modern web development frameworks and tools.
React.jsFront-End Development

Education

Indian Institute of Technology, Madras

Computer Science and Engineering — Computer Science and Engineering

Jul 2014May 2019

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