Hi, I'm Eliya Abbas Sayyed
Software Engineer|
Software Engineer at Innoviscent LPP. Building intelligent software with modern AI & Full-stack tech.
About Me
I'm Eliya Abbas Sayyed, an AI Solutions Architect and Data Analytics Expert currently working as a Software Engineer at Innoviscent LPP. With a proven track record across Intelihuman.com, The SkyBrisk, and Codsoft, I specialize in building end-to-end production AI pipelines, leveraging Agentic AI and Retrieval-Augmented Generation (RAG) to solve complex business problems.
With a strong foundation in AI/ML from Mumbai University, I focus on Decision Intelligence — bridging the gap between raw unstructured data and actionable insights using Python, SQL, and advanced BI orchestration.
I'm passionate about Generative AI optimization and the Vibe Coding movement — using Model Context Protocol (MCP) to accelerate software engineering without compromising on architectural integrity. I believe that Core Knowledge + AI Orchestration is the key to high-velocity, production-grade software delivery in the modern era.
Current Role
Software Engineer @ Innoviscent LPP
Location
Mumbai, India
Education
B.E CSE (AI & ML) — Mumbai University
Focus Areas
Full Stack, Data Analytics, GenAI & ML
Experience
Professional journey and internships that shaped my career.
Software Engineer at Innoviscent LPP
Architecting production-grade full-stack applications and AI-driven features. Lead developer for modular API architectures and scalable frontend systems using React and modern Node.js ecosystems.
AI Research Intern
Intelihuman.com
Developed agentic workflows and implemented retrieval systems to enhance human-AI interaction. Focused on building responsive AI interfaces and optimizing model performance for real-time applications.
Data Science Intern
The SkyBrisk
Implemented advanced recommendation engines and predictive analytics pipelines. Leveraged decision intelligence frameworks to transform raw data into actionable insights for high-traffic platforms.
Machine Learning Intern
Codsoft
Executed end-to-end ML classification projects and statistical modeling. Focused on feature engineering and supervised learning techniques to solve complex predictive challenges.
Technical Skills
Technologies and tools I work with to build, analyze, and deploy.
Languages & Core
Frontend & Backend
Databases & Cloud
Data & Analytics
AI & Modern Engineering
DevOps & Tools
Engineering Philosophy
Core Knowledge + Vibe Coding = Fast Production
Embracing the Model Context Protocol (MCP) to bridge AI intelligence with specialized technical contexts. By combining deep architectural expertise with AI-orchestrated execution, I deliver high-quality production systems at the speed of thought.
Featured Projects
A curated selection of projects showcasing my technical breadth, now synced with GitHub.
DeFi Agentic Credit Scorer
End-to-end production pipeline assigning 0–1000 credit scores to Aave V2 wallets using unsupervised KMeans clustering on raw DeFi transaction data for decision intelligence.
Real-time Service Orchestration
A scalable digital service platform with real-time menu management, featuring production-grade API design and secure administrative workflows.
NLP Recommender Engine
Content-aware recommendation engine utilizing NLP-based feature extraction and collaborative filtering for high-precision user targeting.
Decision Intelligence Dashboards
Advanced BI orchestration using Excel, Power BI, and Python to transform complex datasets into actionable decision-making frameworks.
On-chain Risk Assessment
Statistical risk scoring engine for Ethereum wallets, analyzing on-chain behavior to assess reliability and protocol safety.
Predictive HR Analytics
Predictive ML model for employee churn analysis, utilizing classification algorithms to drive data-driven retention strategies.
Classification Core Model
Supervised learning implementation for predictive classification, focused on feature engineering and model accuracy optimization.
Tableau Dashboards
Interactive business intelligence dashboards and data stories built using Tableau Public.
Comprehensive HR dashboard analyzing employee attrition, satisfaction, and demographic trends.
Analytical report on customer trial conversions and behavioral patterns.
Content analysis and viewership trends for Amazon Prime Video.
Deep dive into Netflix content distribution and genre trends.
Comparative analysis of OTT content metrics using Tableau.
GitHub Activity
Real-time stats from my GitHub profile.
I’m a Python Developer and Data Analyst with 2+ years of experience working on real-world data problems, automation, and analytics-driven applications.
Education
Bachelor of Engineering — CSE (AI & ML)
M.H. Saboo Siddik College of Engineering
Mumbai University — Specialized in Artificial Intelligence and Machine Learning
Polytechnic Diploma — Computer Science
Sri Sathya Sai College of Technology & Medical Science
Foundation in computer science fundamentals, programming, and system design
Get in Touch
Have a project idea or want to collaborate? Feel free to reach out.