Building an established legacy of technical excellence, institutional MoUs, and academic collaboration.
SAK Informatics brings an established record of excellence in technical training and institutional collaboration across premier engineering colleges in Telangana and Andhra Pradesh:
JNTU CE (Wanaparthy, Sircilla)
Vaagdevi College of Engineering (A) & Vaagdevi Engineering College (A)
Sree Dattha Institute of Engineering and Science (A) & Sree Dattha Group of Institutions (A)
JB Institute of Eng. & Tech (A)
NBKR Institute of Science & Tech (A)
TRR College of Technology
Mother Teresa Institute of Science and Technology (A)
Geethanjali Institute of Science and Technology (A)
Kommuri Pratap Reddy Institute of Technology (A)
CMR Technical Campus (A)
Officially approved for Corporate Internship Programs.
UID: CORPORATE6593ee88018f81704193672
Registered under Ministry of Micro, Small and Medium Enterprises, Govt. of India.
UDYAM-TS-20-0078801
Registered under Section 58(1) of the Indian Partnership Act, 1932.
Register of Firms No. 3286 of 2014, Hyderabad
As the Founder and CEO of SAK Informatics, Mahesh Pala drives the strategic vision, institutional partnerships, and R&D product development. With extensive experience across technical domains, machine learning frameworks, and academic collaborations, he has spearheaded large-scale technical training programs and high-impact institutional MoUs across premier engineering institutions in Telangana and Andhra Pradesh.
As the Founder and CEO of SAK Informatics, Manaswi Pala drives the strategic vision, institutional partnerships, and R&D product development. With extensive experience across technical domains, machine learning frameworks, and academic collaborations, he has spearheaded large-scale technical training programs and high-impact institutional MoUs across premier engineering institutions in Telangana and Andhra Pradesh.
Engineers, researchers, and developers driving advanced AI, robotics, and full-stack solutions.
Leads hardware-software integration, embedded systems, and complex mechanical robotics frameworks.
Leads hardware-software integration, embedded systems, and complex mechanical robotics frameworks.
Specializes in artificial intelligence model architectures, deep learning frameworks, and intelligent automation systems.
Builds robust end-to-end applications integrating machine learning models seamlessly with scalable full-stack architectures.
Specializes in deploying machine learning pipelines into production-ready web and enterprise environments.
Focuses on algorithmic development, predictive data analytics, and core computer vision solutions.
Develops specialized neural network solutions and advanced pattern recognition algorithms for automation projects.
Specializes in deploying machine learning pipelines into production-ready web and enterprise environments.
