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Data Analyst (Remote - Full Time)

ObjectWays Technologies

Contributing to Amex Speech-to-Text annotation project for French customer interactions. Performing large-scale data analytics and ETL processing using BigQuery SQL, Apache Beam, Dataform, and Cloud Data Fusion. Achieving 90% accuracy in NLP-based quality monitoring for banking service interactions.

• 90% Accuracy in NLP Quality Monitoring
• BigQuery SQL & ETL Processing
• French Language NLP
• LiDAR Object Detection Annotation
• Machine Learning Data Preparation

Co-Founder & Chief Technology Officer

Super DataInsights & AI Scientists Innovations

Leading research initiatives in vision-language models and multimodal AI systems. Developing advanced computer vision algorithms including Vision Transformers (ViT) and DTFR. Managing research team and targeting publication in top-tier ML/CV conferences (CVPR, ICCV, NeurIPS, ICML).

• Vision-Language Models Research
• Computer Vision Algorithms (ViT, DTFR)
• IoT and AI/ML Solutions
• Academic Publication Planning

Student Researcher

Jain University

Conducted research on Smart Battery Management Systems for Autonomous Vehicles using deep learning. Developed predictive models for battery health monitoring and lifecycle optimization. Worked on embedded systems, digital signal/image processing, and real-time intelligent systems.

• Published Research in IJIRT Journal
• Deep Learning for Battery Management
• Embedded Systems Development
• Signal & Image Processing

Network Systems Engineer (Intern)

Celeste Telecom Mali Sarl

Configured and managed enterprise-level network infrastructure. Worked with multiple vendor platforms (Cisco, Huawei, Fortinet, Netgate). Implemented L2/L3 routing protocols and deployed SD-WAN solutions.

• Enterprise Network Management
• Multi-vendor Platform Experience
• Routing Protocols (BGP, OSPF, EIGRP)
• SD-WAN Deployment

Active Volunteer

Social Charity Youth of Mamaribougou

Supporting widows and orphans in Mali through welfare initiatives and resource distribution. Contributing to community welfare programs and education initiatives for underprivileged children.

• Community Welfare Programs
• Support for Widows and Orphans
• Education Initiatives

Bachelor of Technology (in collaboration with Texas Instruments)

Jain University

Electronics & Communication Engineering

• Digital Signal Processing
• Image Processing
• Embedded Systems
• VLSI Design & Technology
• Microprocessors & Microcontrollers
• FPGAs & Digital Design
• Machine Learning
• Deep Learning
• Computer Vision
• Analog & Digital Communication Systems
• Wireless Communication
• Control Systems
• Electromagnetic Theory
• Electronic Devices & Circuits
• Network Theory
• Power Electronics
• Signal & Systems

Master 1 Studies (Non-Degree)

National School of Engineering (ENI-ABT)

Artificial Intelligence, Machine Learning, Signal Processing

• Feed Forward Neural Networks
• Digital Signal Processing
• Machine Learning Algorithms
• Voice Recognition Systems

Bachelor (Licence in Génie Informatique et Télécommunications)

National School of Engineering (ENI-ABT)

Computer & Telecom Engineering

• 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

Department Topper & Gold Medalist - BTech Electronics & Communication Engineering

Jain University, Bangalore, India

Graduated as Department Topper and Gold Medalist with GPA 3.64/4.00 (9.106/10), ranking 1st out of entire ECE department.

Best Presentation Award

Avalanche Club, ECE Department, Jain University

Awarded Best Presentation for 'Electronics and Communication Engineering – 2030', showcasing future trends and emerging technologies in the field.

Cotton Wool Detection for Diabetic Retinopathy

Minor Project Research, ECE Department, Jain University

Computer vision project focused on detecting cotton wool spots in retinal images for early detection of diabetic retinopathy. Employs image processing and machine learning techniques to identify and classify cotton wool spots in fundus images.

Smart Battery Management System for Portable Devices to Enhance Battery Life Based on Machine Learning

International Journal of Innovative Research in Technology (IJIRT)

This research presents a smart battery management system using deep learning techniques. Employs machine learning models built in Python using Scikit-learn and TensorFlow to estimate State of Charge (SoC), State of Health (SoH), and Remaining Useful Life (RUL) with high accuracy. Evaluation using MAE, RMSE, and R² metrics showed significant improvements over traditional BMS methods.

Human Voice Recognition System Based on Feed Forward Neural Networks for Platforms

Master's Thesis, National School of Engineering ENI ABT

Implementation of human voice recognition system using Python, PyTorch, and TensorFlow with feed-forward neural networks trained on MFCC and FBANK features extracted using NumPy and Librosa. System performance assessed through accuracy, F1-score, and Equal Error Rate (EER), demonstrating significant improvements over traditional voice recognition methods.

Smart Battery Management System

Deep Learning for Battery Life Optimization in portable devices and autonomous vehicles. Developed ML models for SoC, SoH, and RUL estimation with significant improvements over traditional methods.

• Published in IJIRT Journal
• Deep Learning with TensorFlow & Scikit-learn
• MAE, RMSE, R² Evaluation

Vision-Language Models Research

Current research on multimodal AI for text and image understanding. Developing Vision Transformers (ViT) and DTFR algorithms for advanced computer vision applications.

• Vision Transformers (ViT)
• Multimodal Understanding
• Target: CVPR, ICCV, NeurIPS

Cotton Wool Detection for Diabetic Retinopathy

Computer vision system for early detection of diabetic eye disease through automated detection of cotton wool spots in retinal images.

• OpenCV & Image Processing
• Medical Image Analysis
• Machine Learning Classification

Human Voice Recognition System

Speaker recognition system using feed forward neural networks with MFCC and FBANK feature extraction. Achieved high accuracy and low Equal Error Rate.

• PyTorch & TensorFlow
• MFCC/FBANK Features
• High Accuracy & Low EER