Sri Harsha Gajavalli

Sri Harsha Gajavalli

Team Lead, AI R&D in Tempe, Arizona, USA, He

Looking for Co-op and Full time opportunities

7 months ago

I am a top-performing, innovative, and self-motivated professional, deeply passionate about the fields of data science, machine learning, and cybersecurity. With a proven track record of excellence, I possess the expertise to seamlessly integrate and mine vast datasets, employing predictive and prescriptive analytics, AI technology, and machine learning techniques to unlock invaluable insights.

My journey as a multifaceted professional extends beyond data science to encompass a strong interest in cybersecurity. I am driven by a relentless pursuit of excellence, capable of connecting data from diverse sources to solve intricate business challenges while also fortifying digital defenses against emerging cyber threats.

What truly sets me apart is my holistic understanding of application development and systems implementation. Beyond data analysis, I comprehend the intricate web of technology, security, and data, enabling me to provide strategic solutions that bolster both data-driven decision-making and cybersecurity posture.

I thrive on the excitement of identifying new opportunities hidden within data and leveraging cutting-edge technology to craft data-driven solutions. Simultaneously, I am committed to safeguarding critical systems and information from cyber threats, underscoring my dedication to ensuring the confidentiality, integrity, and availability of digital assets.

My unwavering commitment to innovation, analytical acumen, and self-motivation fuels my continuous quest to push the boundaries of what's possible in data science and cybersecurity. I am driven not only by the fascination of uncovering insights but also by the imperative of securing these insights against evolving cyber risks.

With a passion for turning data into actionable insights and a dedication to fortifying digital fortresses, I am poised to make a profound impact in the realms of data science and cybersecurity, helping organizations thrive in an increasingly data-centric and digitally interconnected world.

Work Experience

2019 — 2022

• Lead NLP team in developing the world's first Hyper-automation platform with Autonomous AI for Business & IT
• Developed a Natural language understanding module that understands IT domain-specific language with an accuracy of 92%
• Built an enterprise search engine that intelligently indexes different data from various sources.
• Managed team of 7 in building the exceptional NLP system that can automate nearly 60% of IT tickets for an organization.

2021 — 2022
Ph.D Mentor at Freelancer

• Guided and worked closely with PhD students from multiple universities in the United Kingdom in developing a novel and
efficient Insider threat detection system.
• Used a combination of ML models to develop an insider threat detection model on a large-scale dataset that had a test accuracy of 97%.

2017 — 2019
Founder at ICyberSol

• Led organization, established business direction, and actualized operational plans to meet goals.
• Designed and developed one of the first intelligent intrusion detection systems from the scratch with an accuracy of 93%.
• Performed market analysis, developed the product, and designed. a business model, and finally onboarded 8 B2B customers in the span of 2 years.


Secured Federated Learning

I am currently working on development of a privacy-friendly federated learning framework capable of handling Large Language Models such as Llama2 and Falcon. This framework integrates Secured MPC algorithms to guarantee high levels of security, confidentiality, and privacy throughout the federated learning process. Additionally, I have optimized the MPC algorithms, leading to a remarkable 93% reduction in execution time and a 45% decrease in memory usage per round of Federated Learning. This combination of capabilities positions the framework as a robust and efficient solution for privacy-preserving federated learning tasks involving complex language models.


In 2018, I spearheaded the development of a Hybrid Intrusion Detection System, a technically advanced solution combining time series algorithms and deep learning techniques. Achieving a remarkable 93% accuracy rate, the system rapidly processes network data in 1/8th of a second, thanks to optimization and hardware acceleration using the Movidius NCS. A comprehensive data collection effort, including the creation of a private network environment, contributed to the system's unparalleled performance. This accomplishment underscores my dedication to cybersecurity innovation and data-driven precision.


India Prime Icon Award from FoxClues
INDIA PRIME TOP 100 Professors Researchers & Teachers from India Prime Awards


2019 — Now
2022 — 2023
Boston, MA

Managed the research portfolio and worked on various advanced research analytics in the Healthcare domain.

2018 — 2022
2017 — 2019
2017 — 2019


2022 — Now
Masters in Software Engineering (CyberSecurity) at Arizona State University
Tempe, AZ, USA

GPA: 3.9/4.0



This specialisation is a completion of following 5 courses:

  1. Convolutional Neural Networks
  2. Neural Networks and Deep Learning
  3. Sequence Models
  4. Structuring Machine Learning Projects
  5. Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization