M. Srikanth, Chairman & President

• Technology Leader in AI & dynamic global markets
• Expert in AI, HPC, Cloud, Big Data, Networking, Security, OEM
• Successfully managed P&L ($NN million) and business growth
• IIT (Kharagpur, India) Computer Engineering., UNM Mathematics, Yale/TIFR Fellow
• 25+ years comprehensive enterprise transformation & product execution experience across dynamic global markets with critical business drivers & environments.
• Expert in areas of AI & Deep Learning, Cloud (Data center, Public, Private, Hybrid, Multi)/Distributed Systems, Networking & Security, Digital Transformation.
• As the Chairman of Mayacom Inc., Mayacom Technologies & Ice Media. He has worked with key industry players such as Cisco, Nvidia, Juniper, Arista, Nokia, Broadcom, Verizon, Cacheflow, AWS, Google, Oracle, RedHat, VMware, SuSE, Applied Material, KLA, HCL, Cognizant, TCS, US DoE, US DoD & NSF research laboratories, NCST-C-DAC, including as a founding member of KBCS at NCST & ASCI/POOMA at ACL/LANL.
• M. Srikanth holds a Master of Science in Mathematics, Artificial Intelligence UN Fellow at Yale University, Computer Science Graduate Research Fellow at TIFR, Bombay and Master of Technology in Computer Engineering from the Indian Institute of Technology (IIT).
• AI specific experience in Symbolic AI, Connectionist AI, Statistical Machine Learning & Optimization, Modern AI/Deep Learning.
• 1. The Modern AI/DL subject matter mastery evolved at the following key stages:
      3 Recent Deep Learning Waves:
      • 2015 (Vision and Embedding/language modeling breakthroughs),
      • 2018 (Attention, Transformer, NMT, GAN and latent diffusion breakthroughs) and
      • 2022 (LLM, Autoencoders and Multimodal breakthroughs).
• 2. The Modern AI/DL research studies involves assimilating the following:
      CMU, Stanford, MIT, Berkeley, Cambridge, NYU, UT etc. DeepMind, Google, Facebook (FAIR), OpenAI etc.
• 3. The Modern AI/DL foundations and industry practices revolved around the following:

  Deep Reinforcement Learning (value-based, policy-based, model-based), Language Models (LLM, ALM, VLP), Generative modeling (autoregressive, diffusion flow-based, autoencoders). Transformers, Large Language Models (BERT, GPT, LLaMA, RETRO), Latent Diffusion Models, Graph Models; Neural Networks, Pre-training, Fine Tuning, Validation, Priors, Reinforcement Learning, Autoregression, Autoencoders, Adversarial Networks; Predictive Maintenance, Anomaly detection, Classification, Summarization, Neural Search, Strategies like zero-shot, multimodal, multi-task, transfer learning, self-supervised. GNNs and Geometric Deep Learning.

Suryakiran, Managing Director

Strategy & Technology Advisor / Media (Director/Actor/Writer/Music)

• Well-versed in strategy consulting methodologies, with a keen eye for identifying business challenges and opportunities.
• Experienced in conducting market research, competitive analysis, and data-driven insights to formulate effective strategies.
• Strong AI problem-solving abilities, offering innovative solutions to drive growth, optimize operations, and maximize impact.
• AI consulting in planning, designing, and implementing effective AI solutions that address the needs and goals of different business domains
• Using in AI, advanced machine learning tools and algorithms to create and optimize AI models and applications.
• Communication with clients and stakeholders to understand their requirements, provide recommendations, and deliver results.
• Strong skills in AI computing, programming, mathematics, statistics, machine learning, natural language processing, and problem-solving.
• Good knowledge of AI ethics and guidelines.
• Expertise in ChatGPT and prompt engineering techniques, allowing me to create intelligent and contextually aware conversational experiences.
• Skilled in fine-tuning and optimizing AI models for accurate, engaging, and personalized responses.
• Experienced in leveraging ChatGPT and prompt engineering to deliver AI-driven solutions that meet the unique needs of businesses
• Proficient in all aspects of media production, from concept development to post-production, ensuring seamless execution of visual and audio content.
• Skilled in crafting compelling stories, capturing stunning visuals, and creating immersive cinematic experiences.
• Experienced in managing diverse teams, coordinating logistics, and overseeing the production process to deliver high-quality results.
• Adept in music composition, production, and performance, with a deep understanding of the emotional impact of music in various media contexts.
• Expertise in creating original music scores, soundtracks, and audio enhancements that elevate storytelling and captivate audiences.
• Proficient in using industry-standard software and instruments to produce exceptional music that aligns with project objectives.
• Expertise in film direction, with a deep understanding of visual storytelling, character development, and cinematic techniques.
• Skilled in collaborating with actors, cinematographers, and production teams to bring scripts to life and create compelling narratives.
• Experienced in guiding the creative vision, managing on-set operations, and ensuring a cohesive and engaging final product.
• Strong analytical capabilities, leveraging data-driven insights to inform business strategies, optimize processes, and drive results.
• Proficient in utilizing analytics tools and techniques to extract meaningful patterns, trends, and actionable recommendations.
• Experienced in translating complex data into clear and concise reports, empowering stakeholders to make informed decisions.