My Journey from Data Engineering to AI Innovation
From a village without Television to Global Recognition.
Krishnam Nimmala's journey began in a rural Indian village, raised by parents whose formal education never reached fifth grade. Through determination, part-time tutoring, and an unshakeable belief in education's power, he built an extraordinary career in technology. Today, Krishnam serves as an Informatica MDM Engineer at Ford Motor Company, bringing enterprise-grade data leadership to one of the world's most iconic organizations. A Senior Member of IEEE, ACM Peer Review Certified, and recipient of both the Bronze Globee® AI Award 2026 and the Global Recognition Award 2026, he is internationally recognized for innovation that matters.
He founded "Eyevo" an AI-powered smartphone vision screening tool built for rural communities and school children without access to eye care. He is also the published author of "The Quiet Battle Inside" — an inspirational novel for teenagers.
My Identity
Get to know my personality and passions.
My Passions
Explore my favorite hobbies and interests.
EYEVO: INNOVATION
One Smartphone. Zero Hardware. Infinite Impact.
One Smartphone. Zero Hardware. Infinite Impact.
One Smartphone. Zero Hardware. Infinite Impact.
EYEVO is Designed to improve access to early vision screening, uses a mobile, intelligent, and scalable approach to help identify vision acuity issues sooner and support timely intervention for students and underserved communities. The platform combines software innovation with practical healthcare impact, reflecting the value of AI-enabled tools in expanding screening reach. EYEVO architecture featured in IEEE news publication, and built by Krishnam Nimmala,
Eyevo represents a fundamental rethinking of how vision care can be delivered, particularly to the 2.2 billion people worldwide living with unaddressed vision impairment, the majority of whom reside in low-income and rural communities with little or no access to eye care professionals.
How Eyevo Works
One Smartphone. Zero Hardware. Infinite Impact.
One Smartphone. Zero Hardware. Infinite Impact.
EYEVO using advanced Artificial Intelligence and smartphone camera technology, Eyevo performs vision screening assessments comparable to clinical evaluations, directly on any standard smartphone, with no additional hardware required.
Currently in active Beta Testing, Eyevo's results are
being rigorously compared against clinical outcomes to
validate accuracy and reliability, a critical step toward
global deployment and regulatory compliance.
<<< add about architecture highlevel like no hardware, results stored on device etc....
Eyevo: Real World Impact
One Smartphone. Zero Hardware. Infinite Impact.
THE PROBLEM EYEVO SOLVES:
Eyevo has already moved beyond the BETA. Demonstrated live at IEEE-affiliated STEM outreach events at local schools,
Eyevo has introduced AI-powered vision screening directly to students and educators, bringing cutting-edge healthcare technology into classrooms where it is needed most.
These real-world demonstrations have validated Eyevo's accessibility, ease of use, and transformative potential for communities that traditional healthcare systems have long overlooked.
THE PROBLEM EYEVO SOLVES:
EYEVO: Recognition & Intellectual Property
THE PROBLEM EYEVO SOLVES:
Across the world, millions of school-going children and families in underserved communities suffer from undiagnosed vision impairments. Without access to eye care clinics or professionals, these conditions go undetected — silently affecting learning, development, and quality of life.
In rural India, rural America, and low-income communities globally, the
Barriers are the same:
- No local eye care professionals
- No affordable screening equipment
- No awareness of existing vision problems
Eyevo eliminates all three barriers — instantly.
EYEVO: Recognition & Intellectual Property
EYEVO: Recognition & Intellectual Property
EYEVO: Recognition & Intellectual Property
✦ Bronze Globee® AI Award 2026
Most Innovative AI Person of the Year
✦ Global Recognition Award 2026
Honored for AI Innovation & Humanitarian Impact
✦ Patent Pending
Proprietary AI vision screening methodology
✦ IEEE STEM Outreach
Demonstrated at local school events
✦ Active Beta Testing
Clinical comparison,validation underway
Global Vision
EYEVO: Recognition & Intellectual Property
EYEVO: Recognition & Intellectual Property
Eyevo is not just a product. It is a movement.
A movement to ensure that a child in a rural village just like Krishnam Nimmala himself grew up in never has to struggle through school with an undetected
vision problem simply because an eye doctor was not available nearby.
Eyevo exists to close the gap between innovation and humanity.
add event gallery
write about real world participation events....
Credentials: IEEE · ACM · Ford
SMIEEE · ACM Peer Review Certified · MDM Engineer at Ford Motor Company
PUBLISHED AUTHOR
"THE QUIET BATTLE INSIDE"
AI and Machine Learning Advances
"THE QUIET BATTLE INSIDE"
In a world filled with constant noise, comparison, and digital overload, many teens fight a quiet
battle—struggling to stay focused, understand themselves, and find meaning in their everyday lives.
“THE QUIET BATTLE INSIDE” explores that struggle through six unique journeys.
Six individuals.
Six forms of distraction.
Six paths toward self-understanding.
Each section of this book centers on a different character and theme, reflecting the real challenges
teens face today—overthinking, self-doubt, fear of failure, emotional isolation, digital distraction,
and loss of direction. Through reflective storytelling, practical insights, and thoughtful guidance,
readers are encouraged to slow down, look inward, and build inner strength.
Rather than offering quick fixes, this guide helps teens develop awareness, resilience, and
purpose—skills that matter long after the noise fades.
Available in all major Online Platforms across globe including Barnes & Noble, Amazon, Walmart, target, Apple book with Physical, Digital and audio versions.
Product details
- ASIN : B0GPS792DD
- Publisher : Spines
- Publication date : February 23, 2026
- Language : English
- File size : 1.6 MB
- Screen Reader : Supported
- ISBN-13 : 979-8902233169
- Page Flip : Enabled
- Best Sellers Rank: #104,743 in Teen & Young Adult Literature & Fiction
AI and Machine Learning Advances
AI and Machine Learning Advances
AI and Machine Learning Advances
Title: Evaluating the Evolution and Efficacy of AI-Driven Intrusion Detection Systems Against Zero-Day Attacks
1*Krishnam Nimmala
1 Information Technology/software engineering, Independent Researcher
Received: 11-Feb-2026 | Revised: 25-Feb-2026 | Accepted: 08-Mar-2026
Doi
https://doi.org/10.64220/amla.v2i1.006
Abstract
There is a high rate of cyber threats development and the use of the zero-day attack, which presents a great challenge to the conventional intrusion detection system (IDS). This paper compares the performance and the generalization ability of the AI-based IDS models on two benchmark datasets (NSL-KDD (legacy) and CIC-IDS2017 (modern)) datasets. We present comparisons of Random Forest, XGBoost, and Support Vector Machine in supervised and zero-day simulation scenarios in a leave-one-attack-out set up. Supervised performance has been observed to be almost perfect on both datasets, with recall and ROC-AUC scores being close to 0.999 with the tree-based models. Nevertheless, zero-day analysis demonstrates significant performance reduction, and a drop to about 68 and 58 percent on NSL-KDD and CIC-IDS2017, respectively. These results demonstrate that there is a severe disparity between controlled precision and actual generalization in the real world. The findings show that AI-based IDS models are effective in detecting known attacks but have poor zero-day resiliency, and it is important to note that more generalized and adaptable intrusion detection systems should be designed.
Recognition That Reflects a Mission Not Just an Achievement
🏆 Bronze Globee® Award for Artificial Intelligence 2026
Category: Most Innovative AI Person of the Year
Presented by: Globee® Awards for Artificial Intelligence
Year: 2026
About this Award:
The Globee® Awards are among the world's most prestigious technology and business recognition programs, honoring
outstanding achievement in artificial intelligence and innovation across the globe. Being named Most Innovative AI
Person of the Year places Krishnam among the world's most distinguished AI innovators recognized for pioneering
Eyevo, an AI-powered smartphone vision screening platform that is transforming healthcare access for underserved
communities worldwide.
"This recognition validates not just the technology but the mission behind it."
🏆 Global Recognition Award 2026
Category: AI Innovation & Humanitarian Impact
Year: 2026
About this Award:
The Global Recognition Award honors individuals who
demonstrate outstanding achievement and meaningful
contribution to their field at an international level.
Krishnam Nimmala was honored for his pioneering work
with Eyevo — an AI innovation that addresses one of
the world's most critical healthcare gaps, bringing
vision screening to rural communities and low-income
families across the globe who lack access to eye
care professionals.
Education
Education
I have a Bachelor's degree in Computer Science from XYZ University. During my time there, I gained a strong foundation in programming, data structures, algorithms, and computer architecture.
MEDIA PUBLICATIONS (PRESS & RESEARCH)
Internationally Honored for Excellence in AI Innovation & Humanitarian Impact
Internationally Honored for Excellence in AI Innovation & Humanitarian Impact
Internationally Honored for Excellence in AI Innovation & Humanitarian Impact
Krishnam Nimmala's innovations have earned attention from respected media outlets and distinguished professional organizations worldwide independently validating the significance and real-world impact of his work in artificial intelligence, healthcare innovation, and inspirational authorship.
IEEE Region 3 news article: News Letter Volume 41 - No.1 - IEEE Region 3
https://r3.ieee.org/2026/03/25/newsletter-volume-41-no-1/
Title: EYEVO - Software-Centric Mobile Vision Screening Using Adaptive On-Device Architecture
Page No: 36 & 37
Globally Recognized — Independently Verified
Internationally Honored for Excellence in AI Innovation & Humanitarian Impact
Internationally Honored for Excellence in AI Innovation & Humanitarian Impact
Contact Me
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