Transforming data into insights | Building intelligent solutions | Automating the future

I am an AI Engineer focused on building intelligent systems on top of enterprise data.

• 🔭 Currently working on applied machine learning, LLM-powered applications, intelligent automation, and enterprise data platforms

• 🌱 Interested in Agentic AI, GenAI, NLP, RAG, FastAPI, analytics engineering, and scalable AI products

• 👨‍💻 All of my projects are available at GitHub

• 💬 Experienced with Python, Azure, Power BI, Tableau, dbt, LangChain, FastAPI, Docker, and Power Automate

• I enjoy building solutions that are practical, explainable, and production-oriented

• Open to collaborating on applied AI, intelligent automation, and data product development

• 📫 How to reach me bokadesushil@gmail.com

• 📄 Know about my experiences Resume

• ⚡ Fun fact I have mentored 25+ individuals in Power BI and Data Analysis

- Building **RAG and multi-agent AI applications**
- Developing **LLM-powered workflows** for enterprise use cases
- Improving **data quality, analytics readiness, and intelligent alerting**
- Combining **ML, automation, and visualization** to support decision-making

• Microsoft Certified Azure Data Scientist Associate (DP-100) - Valid 2024-2026
• Microsoft Certified Power BI Data Analyst Associate (PL-300) - Valid 2025-2026

AI Engineer | Mar 2026 - Present

• Building AI-driven solutions on top of enterprise data platforms to improve operational decision-making, automation, and insight generation.
• Contributing to Projects on NLP Chatbots with RAG & Multi - Agent integration.
• Partner with cross-functional stakeholders to translate business problems into scalable AI, analytics, and automation solutions.
• Contribute to reliable, decision-ready data assets for downstream analytics, intelligent alerting, and AI use cases.
• Support data transformation, quality, and lifecycle practices that improve the usability of enterprise data for machine learning and decision-making.

Associate Technical Engineer | Sep 2023 - Mar 2026

• Built ML models to classify uncategorized incidents, reducing clutter by 30%
• Automated 50% of manual monitoring tasks using Power Automate
• Launched Power BI dashboards showing SLA metrics, reducing resolution time by 20%
• Mentored 25+ individuals in Power BI and Data Analysis

Associate Consultant - Business Intelligence Analytics | Jun 2023 - Aug 2023

• Analyzed digital marketing data from GA4, Google Ads, Facebook, TikTok, LinkedIn
• Developed SQL and Tableau dashboards, improving data freshness by 3x
• Introduced QA checks that improved data consistency by 25%

Intern - Business Intelligence Analytics | Jan 2023 - Jun 2023

• Built dashboards and validated pipeline outputs
• Saved 5 hours/week by standardizing manual checks

Tech Stack: GPT-4 LangChain FastAPI Docker Elasticsearch

Key Features:

• Real-time log analysis using GPT-4 via LangChain framework
• Intelligent threat classification into 4 severity levels: LOW, MEDIUM, HIGH, CRITICAL
• Advanced detection capabilities for unauthorized access, suspicious IPs, malware indicators
• Automated privilege escalation and data exfiltration detection
• Elasticsearch integration for historical analysis and trend identification
• Containerized architecture with Docker Compose for seamless deployment
• Cloud-ready deployment on GCP/Azure with infrastructure-as-code
• Comprehensive test coverage with pytest and CI/CD pipeline integration

Tech Stack: Python NLP TF-IDF XGBoost Explainable AI

Key Features:

• Advanced NLP-based password strength evaluation system
• Achieved 98.6% test accuracy with 0.99 weighted F1-score
• TF-IDF vectorization for feature extraction from password patterns
• 40% improvement in password evaluation efficiency compared to traditional methods
• Explainable AI implementation with SHAP values for model interpretability
• Real-time REST API for integration with web applications
• Comprehensive security analysis with contextual explanations

Tech Stack: Python PIL QR Code Image Processing

Key Features:

• Creative utility for generating aesthetically pleasing QR codes
• Multiple design templates with customizable color schemes
• Logo embedding capabilities for branded QR codes
• Batch processing functionality for multiple QR code generation
• High-resolution output with scalable vector graphics support

Tech Stack: NVIDIA Tools AI/ML GPU Computing CUDA

Key Features:

• Comprehensive exploration of NVIDIA's AI development ecosystem
• GPU-accelerated machine learning model implementations
• Performance optimization techniques for deep learning workflows
• Integration with NVIDIA's AI frameworks and libraries

Tech Stack: Documentation Best Practices Data Science

Key Features:

• Comprehensive guide for effective data sharing in research and industry
• Best practices for data science collaboration and reproducibility
• Standardized protocols for data documentation and metadata management
• Community-driven resource for data science professionals

"Anticipating Menstrual Migraine Using Deep Learning"
Published in Grenze Journal (March 2023)

• Developed predictive models using deep neural networks
• Applied time-series analysis for migraine pattern recognition
• Achieved significant improvement in early detection accuracy

"Gaze Detection in Market Research"
Published in IJIRCCE (May 2023)

• Implemented computer vision algorithms for eye-tracking analysis
• Applied machine learning for consumer behavior prediction
• Contributed to advancing market research methodologies

Bachelor of Technology (Honors) in Data Science
Jain University, Bangalore | Aug 2019 - Jul 2023

Key Coursework:

• Machine Learning & Deep Learning
• Statistical Analysis & Data Mining
• Database Management Systems
• Cloud Computing & Big Data Analytics
• Research Methodology & Technical Writing

• 🏅 30% reduction in incident clutter through ML model implementation
• 📈 40% efficiency improvement in password evaluation systems
• 👨‍🏫 Mentored 25+ professionals in Power BI and Data Analysis
• 🚀 20% faster resolution times through automated dashboard deployment
• 📊 3x improvement in data freshness for marketing analytics
• 🔍 25% better data consistency through automated QA implementation
• 📋 50% automation of manual monitoring tasks using Power Automate
• 🎯 Published researcher with 2+ peer-reviewed publications

🏆 Total Repositories: 6+ Active Projects
⭐ Total Stars Earned: 15+ Community Recognition
🍴 Total Forks: 5+ Developer Collaborations
📦 Primary Languages: Python (75%), R (13%), SQL (8%), JavaScript (4%)
🔥 Current Focus: LLMs, MLOps, Security AI, Cloud Computing
💻 Active Development: Threat Intelligence, Explainable AI, Analytics Automation
📚 Documentation: Comprehensive README files and technical guides
🤝 Contributions: Open source community involvement

Python       12 hrs 30 mins  ████████████▓░░░░░░░░   75.2%
SQL          2 hrs 15 mins   ██▓░░░░░░░░░░░░░░░░░░░   13.5%
R            1 hr 20 mins    █▒░░░░░░░░░░░░░░░░░░░░    8.0%
JavaScript   35 mins         ▓░░░░░░░░░░░░░░░░░░░░░    3.5%

Most Active Days: Monday, Wednesday, Friday
Peak Coding Hours: 9:00 AM - 12:00 PM, 2:00 PM - 6:00 PM

I'm Open To:

• 🤝 Collaboration on innovative AI/ML projects and research initiatives
• 💼 Full-time opportunities in Data Science, AI Engineering, and Analytics roles
• 🎯 Consulting projects on Analytics Automation and Business Intelligence
• 🏆 Open source contributions to advance the data science community
• 📚 Speaking engagements at technical conferences and workshops
• 🎓 Mentoring aspiring data scientists and AI enthusiasts

"Turning complex data into clear insights, transforming algorithms into real-world solutions, and converting innovative ideas into measurable business impact."