ZEESHAN
KEERIO.
AI-focused technology leader & AI Engineer specialized in GenAI, Agentic AI, and RAG Pipelines.
Architecting Production-Grade Autonomous Intelligence.
REPLACING MANUAL
WORK WITH CODE.
"Technology is only as valuable as the manual effort it eliminates. As the sole architect of the Mindscape Analytics platform, my focus is on engineering high-fidelity, autonomous ecosystems that allow founders and enterprises to operate at post-quantum speeds with zero technical friction."
PROJECT LEDGER.
All Assets Designed & Developed by Zeeshan Keerio
Mindscape Analytics Platform
Mindscape Analytics is an AI-driven enterprise technology platform focused on building autonomous systems, intelligent automation workflows, and scalable SaaS infrastructures. The company specializes in AI agents, data engineering, cloud architecture, and full-stack development to help businesses streamline operations, reduce manual effort, and scale efficiently. With a strong emphasis on performance, reliability, and measurable business impact, Mindscape Analytics delivers end-to-end digital transformation solutions for modern enterprises.
CyberTraderX
Autonomous crypto & stock trading bots using ML and statistical models. Implemented backtesting, risk controls, and strategy optimization pipelines for high-frequency trading.
Cattle Farm Management
AI-driven livestock management system for large-scale operations, optimizing animal health tracking and operational efficiency through automated workflows.
AgriChain
Transparent supply chain management system for agricultural products using distributed ledger technology.
DBLynx Intelligence
Production-grade Agentic AI platform enabling autonomous data analysis and Natural Language Querying (NLQ) over structured databases using RAG.
Global Formations
Enterprise portal for global business entity management and legal compliance automation.
PROFESSIONAL
EVOLUTION.
A high-fidelity journey through the core layers of financial data and AI engineering.
AI Engineer | Team Lead (GenAI & Agentic Systems)
Designing and deploying LLM-powered AI assistants using RAG. Building agentic AI systems capable of task planning, decision-making, tool execution, and memory handling. Integrated vector databases and LLM APIs into production-grade systems, significantly reducing manual operational efforts.
Big Data Administrator
Optimized Cloudera HDFS ecosystems, improved reliability and performance for large-scale workloads. Deployed and administered HDFS, Impala, Hive, YARN, and StreamSets. Led enterprise-grade security hardening using SSL/TLS, Apache Knox, Ranger, and LDAP integration.
Financial Data Analyst
Awarded Employee of the Month (Sep 2022) for automation excellence. Automated enterprise financial reporting using Python, SQL, and Oracle Analytics, reducing reporting time from 5 hours to 15 minutes. Designed executive BI dashboards and analytical models.
AI Engineer Intern
Developed computer vision models using deep neural networks. Performed dataset preparation, labeling, and augmentation. Worked in agile teams delivering ML prototypes and experiments.
THE IQRA ALMA MATER.
Specialization in Artificial Intelligence, Data Engineering, and Machine Learning. Final Year Project: Student Distraction Detection using Computer Vision & Deep Learning (Project Lead & Backend Developer).