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proBaku, Azerbaijan

Product Designer | Full-stack Developer

$1k+: Earned

2x: Hired

5.0: Rating

60: Followers

Product Designer | Full-stack Developer

Cover image for Real Estate & Rental Search App

Real Estate & Rental Search App

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17

Cover image for Spinfluence Visual Identity Development

Spinfluence Visual Identity Development

2

8

Cover image for Emotion-Driven Meta Ad Campaign for TopTutors

Emotion-Driven Meta Ad Campaign for TopTutors

2

12

Cover image for UI/UX Redesign for BYOB Sports Mobile App

UI/UX Redesign for BYOB Sports Mobile App

2

11

Toolshed (Data, Automation, AI Agents, Framer, Retool)

maxLahore, Pakistan

Data, Automation, AI Agents, Framer, Retool, Bubble

$100k+: Earned

7x: Hired

5.0: Rating

64: Followers

Top

expert

+1

Data, Automation, AI Agents, Framer, Retool, Bubble

Cover image for Plan Path End-User Patient Insurance Portal Development

Plan Path End-User Patient Insurance Portal Development

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24

Cover image for Construction FP&A & Revenue AI Platform

Construction FP&A & Revenue AI Platform

6

306

Cover image for Luxury Framer Architecture Portfolio

Luxury Framer Architecture Portfolio

1

19

Cover image for Multi-Tenant Insurance BI Platform

Multi-Tenant Insurance BI Platform

2

22

Enterprise-level architecture expertise, on-demand.

$50k+: Earned

1x: Hired

5.0: Rating

8: Followers

Enterprise-level architecture expertise, on-demand.

Cover image for Extended Online Platform for National Brands

Extended Online Platform for National Brands

0

17

Cover image for Law Enforcement Communication Platform for CA State Agencies

Law Enforcement Communication Platform for CA State Agencies

1

14

Cover image for Online Community Platform Development

Online Community Platform Development

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7

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AI Lead Conversion & Automation Systems Specialist

5.0: Rating

22: Followers

AI Lead Conversion & Automation Systems Specialist

Cover image for HR Recruitment & Admin Automation

HR Recruitment & Admin Automation

2

14

Cover image for AI-Powered LinkedIn Growth & Content System

AI-Powered LinkedIn Growth & Content System

1

13

Cover image for Discover PilotSphere: The Ultimate Super-App for Pilots

✈️ Submitting to #LevelUpWithBubble App Name: PilotSphere — by Altivion AI Tagline: Connect. Fly. Grow. Aviation has weather apps. Logbook tools. Job boards. But never one platform — until now. PilotSphere is a unified aviation super-app for pilots worldwide. LinkedIn for pilots + operational tools + verified recruitment, all in one. 🛫 Features: Social Feed | Recruitment Board | Live Flight Tracking | Aviation Weather | Digital Logbook | Training Hub | ATC Player 🎯 For: General | Student Pilot | Pro / Airline Pilot 🔵 Verified pilots earn a trust badge — recruitment built on credibility, not just CVs. Built with Bubble. Powered by Altivion AI. The sky isn't the limit — it's just the beginning. 🌐 Do support and share guyz!! 🔗 #LevelUpWithBubble #Bubble #Aviation #PilotSphere #AltivionAI

5

6

525

Cover image for 🚀 Still running everything manually?
For

🚀 Still running everything manually? For

0

11

Colombo, Sri Lanka

Expert Full-stack and AI developer

$5k+: Earned

1x: Hired

2: Followers

Expert Full-stack and AI developer

Cover image for Wish to share a previous achievement at Teamwork Ltd. I play...

Wish to share a previous achievement at Teamwork Ltd. I played a key role in developing a robust new Procurement Management Workflow. This wasn't just a process update—it was a full-stack digital transformation! We leveraged the power of AWS Step Functions to orchestrate complex tasks, backed by scalable Lambda functions, a reliable Aurora DB for data persistence, and Python for core logic. The result is a streamlined, efficient, and fully automated procurement process that significantly reduces overhead and increases accuracy. Excited to continue driving innovation!

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Cover image for Exciting News: Multi-Agent Supervisor Release! I'm thrilled ...

Exciting News: Multi-Agent Supervisor Release! I'm thrilled to announce the successful development and release of a Multi-Agent Supervisor for my bioscience client! This project leveraged the power of LangChain and LangGraph to create a sophisticated, self-correcting query system: Intelligent Evaluation: The initial supervisor agent intelligently evaluates client queries and, when necessary, proactively asks for more details to ensure maximum context and accuracy. Dynamic Task Orchestration: The core Supervisor agent effectively orchestrates multiple specialized sub-agents. Deep Bio-Database Integration: These sub-agents are designed to connect with and query multiple specialized bioscience database tools, allowing for comprehensive and precise data retrieval.

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95

Cover image for successful delivery of an AI chatbot for our Bio Science tea...

successful delivery of an AI chatbot for our Bio Science team! This tool is specifically designed to work seamlessly with their nf-core pipelines, enabling them to get enhanced interpretation and accelerate their research. The chatbot provides end-to-end support: Pipeline Selection: Helps in choosing the most appropriate nf-core pipeline for their specific analysis. Sample Sheet Generation: Supports the creation of accurate sample sheets, simplifying the initial setup. Multi-Step Results Interpretation: Provides clear, step-by-step guidance and interpretation of the complex pipeline results.

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Cover image for Excited to share a recent project where I leveraged the powe...

Excited to share a recent project where I leveraged the power of AI to transform data analytics!

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75

Muhammad Arsalan

Karachi, Pakistan

Data Engineer | Web Scraping | SQL | BI Dashboards

Data Engineer | Web Scraping | SQL | BI Dashboards

Cover image for Problem:
Financial data from stocks and

Problem: Financial data from stocks and crypto APIs was scattered, refreshed manually, and not ready for analytics or ML use. Solution: Built an Apache Airflow pipeline to collect, transform, validate, and load real-time financial data from multiple APIs into PostgreSQL, MongoDB, AWS RDS, and Qdrant. Tools: Apache Airflow, Python, PostgreSQL, MongoDB, AWS RDS, Qdrant, APIs Result: Automated sub-hourly data refresh, processed thousands of records daily, and delivered clean data for dashboards, analytics, and vector search.

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92

Cover image for Problem:

Batch data processing was not

Problem: Batch data processing was not suitable for real-time analytics and scalable cloud-based data ingestion. Solution: Created a real-time streaming pipeline using Kafka on AWS EC2, stored processed data in S3, cataloged it with AWS Glue, and queried it with Amazon Athena. Tools: Python, Apache Kafka, AWS EC2, Amazon S3, AWS Glue, Amazon Athena, Pandas Result: Built an end-to-end cloud data streaming workflow that supports real-time ingestion, storage, cataloging, and SQL-based analytics.

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88

Cover image for Problem:

Finance data was difficult to

Problem: Finance data was difficult to analyze across sales, profit, orders, discounts, countries, and customer segments. Solution: Created an interactive Power BI dashboard with KPI cards, sales trends, profit analysis, country performance, and segment-level insights. Tools: Power BI, Power Query, DAX, Excel, Data Modeling Result: Delivered a clear executive dashboard for tracking financial performance, identifying trends, and making faster business decisions.

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77

Cover image for Problem:

Users needed a faster way

Problem: Users needed a faster way to find the most relevant counselor based on specialization and available data. Solution: Built a recommendation workflow using PySpark for data processing and Redis for fast lookup and recommendation serving. Tools: Python, PySpark, Redis, Docker, Docker Compose Result: Created a containerized recommendation system that processes counselor data and returns relevant matches efficiently.

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71

Advancing Data Solutions

proLahore, Pakistan

AI & Data Engineer|Data & AI Architect| AWS|Azure |Snowflake

AI & Data Engineer|Data & AI Architect| AWS|Azure |Snowflake

Cover image for Oracle to Amazon RDS PostgreSQL
Designed

Oracle to Amazon RDS PostgreSQL Designed and Implemented a secure, scalable architecture to migrate an on-prem Oracle database to Amazon RDS for PostgreSQL. Data Flow: Modeled end-to-end flow, used AWS Glue (SCT) for schema conversion and DMS for full-load and CDC. Stored artifacts in S3 and loaded into RDS. Services: Glue for conversion, DMS for Migration , S3 for artifacts, and RDS as target. Security: IAM roles with least privilege, KMS for encryption at rest. HA & DR: Architected in us-east-1 with Glue, DMS, RDS, S3, and monitoring via CloudWatch.

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98

Cover image for OnPrem .NET to AWS Migration

Migrated

OnPrem .NET to AWS Migration Migrated an on‐premises .NET web application and SQL Server database to AWS to achieve scalability, high availability, and cross‐region resilience. The legacy environment ran on Windows servers with a clustered SQL Server, resulting in high maintenance and limited elasticity. The new AWS architecture features EC2 Auto Scaling behind an Application Load Balancer (ALB), Amazon RDS for SQL Server with Multi‐AZ and a cross‐region read replica, and DNS failover via Route 53. ◦ Deployed the .NET application on an EC2 Auto Scaling group (Windows AMI) across private subnets in us‐east‐1. 5- Build Scalable Real-Time Data Analytics on AWS for Instant Insights Designed and implemented a real-time data analytics platform on AWS, enabling stream processing, transformation, and visualization for high-volume IoT and log data. This system was built to process and analyze millions of records per second, providing actionable insights for business decision-making. The solution leveraged AWS native services like Kinesis, Glue, Lambda, and Redshift, integrating Apache Spark Structured Streaming to handle real-time data ingestion and transformation. Airflow and Step Functions were used for workflow automation.

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151

Cover image for Real-Time Analytics Platform on AWS

Real-Time Analytics Platform on AWS

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0

Cover image for Real-Time Analytics Platform on AWS

Real-Time Analytics Platform on AWS designed to ingest, process, and visualize high-volume streaming data from IoT devices and application logs. Ingestion: Device telemetry (IoT Core) and application logs are published into Amazon Kinesis Data Streams, followed by lightweight routing and enrichment using AWS Lambda. Processing & Storage: Amazon EMR performs heavy data transformations via Spark Structured Streaming, landing the curated output into Amazon S3 as partitioned Parquet files. AWS Glue then handles batch transformations before loading the data into Amazon Redshift for the analytics workload. Orchestration & Serving: AWS Step Functions coordinate the batch processing workflows. Finally, Amazon QuickSight generates actionable business dashboards while Amazon CloudWatch monitors operational metrics and alarms

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148

DevOps Engineer | AWS Specialist | Backend Developer

DevOps Engineer | AWS Specialist | Backend Developer

Cover image for Building a Resilient Three-Tier Architecture on AWS with Deploy…

Building a Resilient Three-Tier Architecture on AWS with Deploy…

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599

Cover image for Deploying Dockerized App on AWS EKS Cluster using ArgoCD and Gi…

Deploying Dockerized App on AWS EKS Cluster using ArgoCD and Gi…

0

414

Cover image for Implement Two-Tier Architecture in AWS with Terraform

Implement Two-Tier Architecture in AWS with Terraform

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176

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