Sambou KONE

I am Sambou KONE, a PhD Aspirant in Electrical & Computer Engineering with research interests at the intersection of Machine Learning, Reinforcement Learning, AI Robotics, Embedded Systems, Power Electronics, Wireless Communications, VLSI, and SoC. I hold dual Bachelor’s degrees in Computer Engineering & Telecom from National School of Engineering, Bamako, Mali, where I ranked 2nd out of 16 students, and Electronics & Communications Engineering from Jain University (in collaboration with Texas Instruments), Bangalore, graduating as Department Topper and Gold Medalist with a GPA of 3.64/4.00 (9.106/10).

Research Interests

My research centers on developing intelligent systems that integrate machine learning with hardware implementations. I am particularly interested in:

• Computer Vision, Multimodal Learning, Reinforcement Learning & AI Robotics: Vision-language models, vision transformers (ViT), visual understanding systems, intelligent agents, robot learning, autonomous systems, and human-robot interaction
• Graph Neural Networks: Graph-based learning, network analysis, and relational reasoning for structured data
• Human Learning & AI: Understanding how humans learn and applying those principles to develop more effective AI systems
• Quantum Machine Learning: Exploring quantum computing paradigms for enhanced ML performance
• Embedded AI Systems: Real-time intelligent systems on microcontrollers, VLSI and FPGAs
• Deep Learning for Signal Processing: Applications in battery management, speech recognition, intelligent systems, and biomedical signal analysis
• Power Electronics and Wireless Communications: Design and optimization of power conversion systems, RF circuit design, wireless communication protocols, and integration of AI for intelligent power management and communication systems

I am seeking PhD opportunities to advance fundamental research in these areas while contributing to practical applications that address real-world challenges.

Current Work

I currently serve as Co-Founder & AI Researcher at Super DataInsights & AI Scientists Innovations, where I lead research initiatives in computer vision and multimodal AI systems. My work focuses on vision-language models and advanced computer vision algorithms (ViT, DTFR), with the goal of publishing in top-tier conferences and journals.

Concurrently, I work as a Data Analyst at ObjectWays Technologies (Chennai), contributing to NLP and speech-to-text systems for financial services, achieving 90% accuracy in French language processing using BigQuery SQL, ETL pipelines, and tools such as Amazon SageMaker and vTensorAct Studio.

Technical Skills

Machine Learning & AI: PyTorch, TensorFlow, Scikit-learn, Keras
Computer Vision: OpenCV, Vision Transformers, Image Processing
Programming: Python, C/C++, MATLAB, Java
Data Engineering: BigQuery SQL, ETL (Apache Beam, Dataform), Cloud Data Fusion
Embedded Systems: Microcontrollers, FPGAs, RTL design, Real-time Systems
RF Circuit Design and PCB: RF circuit design, PCB layout and design
NLP Tools: Amazon SageMaker, Encord, vTensorAct Studio

Education

Bachelor of Technology in Electronics & Communication Engineering
Jain University (in collaboration with Texas Instruments), Bangalore, Karnataka, India (2020–2024)
GPA: 3.64/4.00 (9.106/10) - Department Topper & Gold Medalist

• Program: Industry-driven curriculum in collaboration with Texas Instruments and Intel
• Thesis: “Smart Battery Management Systems to Enhance Battery Life Based on Deep Learning” Supervisor: Prof. Sunil MP
• Developed deep learning models for State-of-Charge (SoC), State-of-Health (SoH), and Remaining Useful Life (RUL) estimation
• Published in International Journal of Innovative Research in Technology (IJIRT), Vol. 10, Issue 11, April 2024
• Key Coursework: Digital Signal Processing, Analog & Digital Communication Systems, Wireless Communication, 4G/5G Cellular Network, Control Systems, Electromagnetic Theory, VLSI Design & Technology, Embedded Systems, Microprocessors & Microcontrollers, FPGAs & Digital Design, Machine Learning, Deep Learning, Computer Vision, Image Processing, Electronic Devices & Circuits, Network Theory, Power Electronics, Signal & Systems

Master 1 Studies (Non-Degree)
National School of Engineering (ENI-ABT), Bamako, Mali (2019–2020)

• Thesis: “Human Voice Recognition System Based on Feed Forward Neural Networks” Supervisor: Dr. Abdoulaye Sidibe
• Implemented speaker recognition using PyTorch with MFCC/FBANK features
• Achieved high accuracy and low Equal Error Rate (EER) compared to traditional methods

Bachelor of Computer & Telecom Engineering
National School of Engineering (ENI-ABT), Bamako, Mali (2016–2019)
Ranking: 2nd out of 16 students

• Program: Licence in Génie Informatique et Télécommunications (Computer Engineering & Telecommunications)
• Key Coursework: Computer Systems & Software, Telecommunications & Networks Engineering, Mobile Technology Applications, SQL & Database Design (Merise), Web Development (PHP, JavaScript, HTML/CSS), Network Protocols & Infrastructure, Software Engineering, UML & System Design, Object-Oriented Programming, Data Structures & Algorithms
• Final Project: Student Management System using PHP, JavaScript, HTML/CSS, Bootstrap with MySQL database integration

Research & Professional Experience

Co-Founder & AI Researcher
Super DataInsights & AI Scientists Innovations, Bamako, Mali (November 2024 – Present)

• Lead research initiatives in vision-language models and multimodal AI systems
• Develop advanced computer vision algorithms (Vision Transformers, DTFR)
• Target publication in top-tier conferences (CVPR, ICCV, NeurIPS, ICML)

Data Analyst
ObjectWays Technologies, Chennai, Tamil Nadu, India (Remote) (November 2024 – Present)

• Contribute to Amex Speech-to-Text annotation project for French customer interactions
• Perform ETL processing and analytics using BigQuery SQL, Apache Beam, and Cloud Data Fusion
• Achieve 90% accuracy in NLP-based monitoring using Amazon SageMaker, vTensorAct Studio, and Encord
• Conduct LiDAR object detection data annotation

Student Researcher
Jain University, Bangalore, Karnataka, India (April 2023 – October 2024)

• Conducted research on Smart Battery Management Systems for Autonomous Vehicles using deep learning
• Worked on embedded systems, digital signal/image processing, and real-time intelligent systems
• Published research in IJIRT journal

Network Systems Engineer (Intern)
Celeste Telecom Mali, Bamako, Mali (October 2020 – February 2022)

• Configured and managed enterprise network infrastructure (Cisco, Huawei, Fortinet, Netgate)
• Implemented PABX/VoIP solutions and L2/L3 routing protocols (BGP, OSPF, EIGRP, VLAN)

Publications

Kone, S., & Sunil, M.P. (2024). “Smart Battery Management System for Portable Devices to Enhance Battery Life Based on Machine Learning.” International Journal of Innovative Research in Technology, Vol. 10, Issue 11. ISSN: 2349-6002.

Conference Presentations & Technical Writing

• “Electronics and Communication Engineering – 2030” (Best Presentation Award), Avalanche Club, ECE Department, Jain University, Bangalore (2023)
• “Tactical Advanced Computer (TAC)”, Presented in Embedded Systems Course (May 2022)
• “CMOS Power Minimization Techniques for Portable Devices”, Paper submitted to Jain FET Best Paper Competition (February 2023, unpublished)

Teaching & Service

Generative AI Tools Instructor (2022 – Present)
Provide tutoring on large language models (ChatGPT, Perplexity, DeepSeek), generative AI automation, and AI agent development using n8n and TensorAct.

French Language Instructor (2020 – Present)
Offer online French tutoring for levels A1–C2 as a native speaker.

Volunteer, Social Charity Youth of Mamaribougou (2019 – Present)
Support widows and orphans in Mali through welfare initiatives and resource distribution.

Languages

Native: Bambara, French
Fluent: English, Arabic, Hindi, Bangla, Spanish

PhD Application Statement

I am actively seeking PhD positions in Electrical & Computer Engineering or Computer Science with a focus on Machine Learning, Computer Vision, and Embedded AI Systems. My research goal is to develop intelligent, resource-efficient systems that can operate in real-world environments—bridging the gap between theoretical ML advances and practical hardware implementations.

I bring strong interdisciplinary training, hands-on research experience, and a publication record. I am eager to contribute to cutting-edge research under the mentorship of leading faculty in top-tier programs.

Please feel free to contact me at samboukone99@gmail.com to discuss potential research collaborations, PhD opportunities, or any questions about my work.