Faiz Akram — Co-Founder

Head Of BioInformatics & AI Research | Driving Innovations in Protein Sequencing & Medical Imaging I build AI systems that help solve some of the most complex problems in healthcare—designing proteins, discovering antibodies, and developing medical technologies that impact lives. As a founding team member and Head of Bioinformatics & AI Research at Inito, I’ve spent the last decade at the crossroads of biology, data science, and medical imaging. My work focuses on creating AI-driven frameworks for protein discovery and therapeutic development, with a recent highlight being the successful identification of a novel antibody for a known ligand. My career began in medical imaging, where I developed computer vision and signal-processing systems for healthcare devices. That foundation naturally evolved into data science and deep learning, and today, into bioinformatics and computational biology—where I apply cutting-edge models like AlphaFold and DiffDock to accelerate drug discovery and personalized medicine. Highlights of my journey so far: - Designed and launched a medical imaging device (and companion apps) successfully in the US market. - Led the discovery of a novel antibody using a proprietary AI framework. - Awarded CII & Good Design Award for product innovation. - Part of the Y Combinator alumni network. I’m passionate about advancing the boundaries of AI in healthcare—whether it’s decoding proteins, designing scalable bioinformatics pipelines, or building products that bring science closer to patients. Always open to collaborations at the intersection of AI, biotech, and healthcare innovation.

Stackforce AI infers this person is a Healthcare and Biotechnology innovator specializing in AI-driven solutions.

Location: Bengaluru, Karnataka, India

Experience: 12 yrs 6 mos

Skills

Bioinformatics
Deep Learning
Medical Technology Innovation
Protein Discovery
Computer Vision
Network Engineering

Career Highlights

Led successful antibody discovery using AI frameworks.
Designed and launched innovative medical imaging device.
Awarded for product innovation in healthcare technology.

Work Experience

Inito

Head of Computational Biology and AI Research (10 yrs 7 mos)

Algorithms (10 yrs 7 mos)

Samsung

Software Engineer - Samsung Research India Bangalore (1 yr 2 mos)

Cisco Systems India Pvt. Ltd.

Network Cosultant Engineer (9 mos)

Qualitas Technologies Pvt Ltd

Internship (2 mos)

Indian Institute Of Technology Roorkee

Manager (0 mo)

Education

B.Tech at Indian Institute of Technology, Roorkee

Board Studies at Bal Vikas Vidyalaya, Sasaram

Faiz Akram

Co-Founder

Bengaluru, Karnataka, India12 yrs 6 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Led successful antibody discovery using AI frameworks.
Designed and launched innovative medical imaging device.
Awarded for product innovation in healthcare technology.

Stackforce AI infers this person is a Healthcare and Biotechnology innovator specializing in AI-driven solutions.

Contact

Skills

Core Skills

BioinformaticsDeep LearningMedical Technology InnovationProtein DiscoveryComputer VisionNetwork Engineering

Other Skills

AI System ArchitectureTherapeutic DevelopmentAI FrameworksImage ProcessingCamera DesignImage Quality OptimizationPythonCC++Artificial Intelligence (AI)AI AgentsSystems DesignMachine VisionDigital ImagingSuper-resolution

About

Experience

12 yrs 6 mos

Total Experience

4 yrs 2 mos

Average Tenure

10 yrs 7 mos

Current Experience

Inito

2 roles

Head of Computational Biology and AI Research

Sep 2015 – Present · 10 yrs 7 mos

At Inito, I lead the Bioinformatics and AI research division, driving innovation in protein sequencing, antibody discovery, and computational biology. My work bridges cutting-edge AI models with real-world healthcare applications, shaping the future of personalized medicine.
Key contributions:
Protein & Antibody Discovery – Designed deep learning frameworks (leveraging AlphaFold, DiffDock, and proprietary models) for protein folding, docking, and antibody sequence optimization.
AI System Architecture – Built scalable frameworks for computational biology, enabling faster and more accurate discovery pipelines.
Cross-Disciplinary Leadership – Collaborate closely with biologists, chemists, and data scientists to integrate biology and AI in drug discovery.
Medical Technology Innovation – Designed and launched a medical imaging device (with companion Android/iOS apps) in the US market.
Recognition & Growth – Helped establish Inito as a global innovator in AI-driven healthcare, earning design awards and recognition from leading accelerators.

BioinformaticsDeep LearningAI System ArchitectureProtein DiscoveryTherapeutic Development

Algorithms

Sep 2015 – Present · 10 yrs 7 mos

Samsung

Software Engineer - Samsung Research India Bangalore

Jun 2014 – Aug 2015 · 1 yr 2 mos · Bangalore

As a Software Engineer with a strong passion for Image Processing and Computer Vision, I focused on pioneering advancements in Camera and Imaging Research. My role primarily involved the design and optimization of camera image sensor pipelines, with a deep dive into technologies such as Bayer Pattern processing and Rolling Shutter Cameras. My work contributed significantly to enhancing image quality and camera performance in various applications.
Key Responsibilities:
Camera Image Sensor Pipeline Design: Led the design and implementation of image sensor pipelines, ensuring optimal performance and image quality for cutting-edge camera systems.
Bayer Pattern Processing: Developed and optimized algorithms for Bayer pattern processing, improving color accuracy and image fidelity in digital cameras.
Rolling Shutter Cameras: Engineered solutions to mitigate the effects of rolling shutter artifacts, enhancing the reliability and usability of cameras in dynamic environments.
Algorithm Development: Created and refined machine learning algorithms tailored for imaging applications, focusing on tasks such as object detection, image enhancement, and real-time processing.
Deep Learning Network Design: Designed and implemented deep learning networks using Caffe, a leading deep learning framework. These networks were employed in various machine vision tasks, enabling more accurate and efficient processing of visual data.

Computer VisionDeep LearningImage Processing

Cisco systems india pvt. ltd.

Network Cosultant Engineer

Jul 2013 – Apr 2014 · 9 mos · Bangalore

Cisco Network Implementation Team deals with deployment and migration of network remotely.
Worked closely with Network Deployment Team, and developed Software's and Scripts in Python to configure different devices remotely and intelligently.
Developed scripts in C, C++ and Python to connect and run commands remotely on various Network Devices such as Routers and Switches.

PythonCC++Network Engineering

Qualitas technologies pvt ltd

Internship

May 2012 – Jul 2012 · 2 mos · Greater Bengaluru Area

Various CCTV Motorized Zoom lens contain motors for focusing camera to get a sharp images. Developed own algorithm of auto focusing and designed own circuit to control these motors through software, manually as well as automatically, taking frames from camera and calculating focus quality and then correspondingly moving focus motor forward or backward for sharp Auto-focus.
Qualigrab: There was a requirement of saving various Region of Interest in an image in respective folder in offline mode of camera. Developed an application of selecting multiple ROI in an image and simultaneously saving those ROI in folders.