BALAKRISHNA REDDY

CEO

Hyderabad, Telangana, India29 yrs 6 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

25 years of experience in advanced technology leadership.
Expertise in AI, speech processing, and multimodal applications.
Proven track record of delivering enterprise-grade AI solutions.

Stackforce AI infers this person is a leader in AI and machine learning for enterprise solutions.

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Skills

Core Skills

AiMachine LearningComputer VisionSpeech ProcessingEmbedded Systems

Other Skills

multimodal AIagentic AI systemsIndic language modelsDocument AIvideo analyticsinformation extractionworkflow automationreal-time detectionspeech-to-texttext-to-speechagentic AImulti-agent orchestrationMLmulti sensor fusionsemantic information extraction

About

Technology leader with over 25 years of experience in research, development, and management of advanced technologies, currently serving as Vice President and Chief Data Scientist at COE AI/ML. Proven expertise across AI, speech processing, computer vision, machine learning, multimodal AI, agentic AI systems, and Indic language models. Focused on delivering cutting-edge, enterprise-grade AI solutions—including Indic LLMs, autonomous and goal-driven agentic workflows, speech-to-text, text-to-speech, speech-to-speech, document AI, video analytics, and multimodal applications—to solve business-critical problems at scale. At COE AI/ML, I lead cross-functional teams of data scientists and engineers to design and deploy Vision and Speech platforms, large-scale model training architectures, multi-agent orchestration frameworks, and transformative AI products. My work emphasizes building intelligent systems that can reason, plan, collaborate, and act autonomously while integrating seamlessly with enterprise workflows. Deeply committed to innovation, collaboration, and responsible AI adoption, I work closely with business stakeholders, DevOps, and engineering teams to ensure measurable impact. Driven by a mission to create scalable, secure, and production-ready AI solutions that accelerate digital transformation across diverse industries.

Experience

29 yrs 6 mos

Total Experience

3 yrs 3 mos

Average Tenure

8 yrs 1 mo

Current Experience

Coe ai/ml

Chief Data Scientist

Apr 2018 – Present · 8 yrs 1 mo · Hyderabad, Telangana, India

Lead the research, development, and large-scale deployment of advanced AI platforms spanning Vision, Speech, Multimodal, Agentic AI, and Indic Language Models, driving enterprise adoption across multiple business verticals.
Architected and delivered a unified, enterprise-grade Document AI framework used across high-volume and high-complexity documents, including invoices, legal contracts, HR documents, policies, and forms. The framework supports intelligent document understanding, layout analysis, information extraction, validation, and downstream workflow automation at scale.
Designed and implemented state-of-the-art AI-based safety and compliance systems using video feeds, enabling real-time detection of safety violations, non-compliance events, and anomalous behavior across industrial and enterprise environments.
Led the development of Vision and Speech AI platforms, including speech-to-text, text-to-speech, speech-to-speech, computer vision, and multimodal systems, powering business-critical applications across the organization.
Drove innovation in agentic AI systems, including autonomous and goal-driven workflows, multi-agent orchestration, and AI systems capable of reasoning, planning, and acting within enterprise constraints.
Built scalable model training and deployment architectures, enabling rapid experimentation, efficient model lifecycle management, and reliable production rollout across cloud and on-prem environments.
Partner closely with business leaders, engineering, DevOps, and platform teams to ensure AI solutions are secure, compliant, production-ready, and aligned with measurable business outcomes.
Mentor and grow high-performing teams of data scientists and engineers, fostering a culture of innovation, ownership, and applied research.

AIspeech processingcomputer visionmachine learningmultimodal AIagentic AI systems+3

Civil maps

Senior Research Engineer

Jun 2017 – Feb 2018 · 8 mos · Hyderabad, Telangana, India

Led ML research group related to multi sensor fusion and semantic information extraction for autonomous vehicles including Automatic calibration of external parameters with respect to GPS/IMU and LIDAR LIDAR to Camera & Detection of virtual semantic features on the road
Managed project plans & timelines at various levels from initial phase of planning through final deliverables
Contributed to effective teamwork by listening intently and communicating clearly while working with a broad range of experts

MLmulti sensor fusionsemantic information extractionmachine learningcomputer vision

Senior Data Scientist

Dec 2016 – May 2017 · 5 mos · Bengaluru, Karnataka, India

Successfully developed end to end pipeline for classifying images and detecting duplicate accounts using face photos
Utilized various traditional features and linear SVM in developing low quality image classifiers
Led teams in the research, development, and implementation of deep learning-based classification of images (professional/personal)
Delivered solutions and results by working with cross functional teams

image classificationdeep learningSVMmachine learningcomputer vision

Thinci india pvt. ltd

Computer Vision Architect

May 2012 – Sep 2016 · 4 yrs 4 mos · Hyderabad Area, India

Built algorithm development team & delivered hand detection module with Haar features and random forest as classifier, using SIMD concept by setting up and leading the Computer vision division including algorithms for object tracking using deep learning concepts
Ensured maximum coverage with minimum number of cameras in indoor spaces through optimal camera placement algorithms
Achieved accurate camera pose estimation, given user inputs or markers for augmented reality as well as low memory, fast DCNN (Deep Convolutional Neural Networks) implementations by using subspace. and quantization methods for GPU/CPU.

algorithm developmentobject trackingdeep learningcomputer visionAI

Quartics

Head Of Research

Jun 2011 – Apr 2012 · 10 mos · Pune, Maharashtra, India

Developed and delivered video post processing and 2D to 3D algorithms by setting up and leading the research team
Coordinated with systems team for gathering requirements and software designing including 2D video to 3D video (depth estimation) in real time
Executed effective processes for designing, simulation and testing of algorithms
Algorithms Multi View Rendering (virtual view synthesis)

video post processing2D to 3D algorithmsAIcomputer vision

Symbolein technologies pvt. ltd.

Vice President (Imaging)

Jun 2009 – Jul 2011 · 2 yrs 1 mo · Bengaluru, Karnataka, India

Oversaw the development of navigation and image processing algorithms for handheld printers including navigation algorithm using cameras on paper i.e. 2D SLAM (Simultaneous Location and Mapping)
Executed effective processes for image processing algorithms related to pre-processing and post processing for camera, display and printer
Delivered end-to-end pipeline for entire image and navigation subsystem
Developed novel paper authentication algorithm using image as input (patent applied)

navigation algorithmsimage processingAIcomputer vision

Centiti

Technical Director

Jan 2004 – Jun 2009 · 5 yrs 5 mos · Bangalore

Developed overall vision and roadmap for AI Platforms for vision-based solutions
Developed end-to-end pipeline and algorithms for handwriting form processing and word recognition from scanned images and computer aided semen analysis - biomedical image processing
Coordinated with core team members for implementation of the Machine inspection-Automatic quality inspection of manufactured products using imaging including Security and surveillance, Video Fraser & Video analytics

AI platformshandwriting form processingAIcomputer vision

Intel

Tech Lead

Nov 2000 – Dec 2003 · 3 yrs 1 mo · Bengaluru, Karnataka, India

Developed fast path architecture, implemented fast path modules, integrated with system
Led the implementation and adherence to incident, problem, and change management processes
Identified process improvement opportunities to increase platform stability and realize operational efficiencies
Contributed to the evaluation and implementation of monitoring tools for test and production environments
Led the team to implement the above for 3G RNC node using Intel Network Processor and porting it on Vx Works Operating System

fast path architectureincident managementAIembedded systems

Motorola india pvt ltd

tech Lead

Mar 1996 – Nov 2000 · 4 yrs 8 mos

Led the team in developing protocol suite of Bluetooth stack and telematic applications and porting the same on Motorola phones
Interacted extensively with developers, quality assurance engineers, and project teams regarding scheduling, requirements, design, implementation, testing, and support
Developed modules like Phone device subsystem, tested and integrated speech/video compression algorithms (G.723, G.728, H.261 and H.263) on Motorola DSP. Ported H.323 stack (RTP/RTCP) on Motorola Power PC processor

Bluetooth stacktelecommunication applicationsembedded systemsAI