Freelancers using AWS Lambda in LahoreFreelancers using AWS Lambda in Lahore
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Ali Hassan's avatar
Ali Hassan
Lahore, Pakistan
Sr.Full Stack Consultant and Developer with 8+ years of exp
$10k+
Earned
1x
Hired
5.0
Rating
13
Followers
Sr.Full Stack Consultant and Developer with 8+ years of exp
Cover image for AI-Driven Brand Intelligence Platform Integration
AI-Driven Brand Intelligence Platform Integration
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17
Cover image for Exploring structured prompting with Kittl. For
Exploring structured prompting with Kittl. For this entry, I created a cinematic luxury footwear concept that captures the moment just before completion, where each component comes together to form the final design. The project includes a women’s high heel video and a three-image sneaker composition, focusing on detail, craftsmanship, and premium aesthetics through realistic textures and refined branding. This highlights how structured prompting can transform an idea into a visually polished result.
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Cover image for 🔥 Full-Stack Development - RankBee
🔥 Full-Stack Development - RankBee AI I worked as a Full-Stack Developer on RankBee an AI visibility platform that helps brands track and improve how they appear across AI search engines. 💡 Key contributions: ⚡ Interactive dashboards for AI visibility ⚡ Tools to track competitors and benchmark presence ⚡ AI-driven content optimization workflows ⚡ Prompt-based testing systems ⚡ Streamlined data processing into actionable insights The platform shows how AI interprets a brand which competitors are recommended and how to optimize content for better AI visibility. I focus on solving complex technical challenges and delivering products that give businesses a real advantage. If you’re developing AI-driven tools or ambitious platforms, let’s collaborate.
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Cover image for I also designed and developed
I also designed and developed https://infinite-compute.com/, a cloud-powered platform that enables users to access high-performance GPU machines and run demanding 3D tools directly from the web without expensive local hardware. I built the complete system architecture myself including the frontend backend services and cloud infrastructure focusing on performance reliability and secure access to remote computing resources. The platform provides a responsive interface to launch and manage GPU sessions while the backend handles session orchestration user management and compute allocation. The system was designed to maintain stable remote sessions efficiently manage resources and provide secure authentication so developers designers and 3D artists can run heavy software on demand from anywhere.
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163
AWS Lambda(1)
Advancing Data Solutions's avatar
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 Real-Time Analytics Platform on AWS
Real-Time Analytics Platform on AWS
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2
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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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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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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162
AWS Lambda(1)
Murtaza Asghar's avatar
Murtaza Asghar
Lahore, Pakistan
Senior software engineer
New to Contra
Senior software engineer
Cover image for I worked as the Full
I worked as the Full Stack Engineer on Solareum https://solareuml1.io/ , a Layer 1 blockchain platform that connects renewable-energy generation data with on-chain records through its patent-pending Proof of Generation® mechanism. Solareum is a Layer 1 blockchain platform that records renewable-energy generation data through its Proof of Generation® mechanism. I worked as the Full Stack Engineer, developing dashboard workflows for energy production, consumption, export, battery storage, carbon savings, connected devices, wallet activity, and blockchain tools. My work covered the dashboard, application services, serverless infrastructure, database integration, Web3 functionality, and deployment workflows. I can help you build: - Responsive Next.js dashboards - Real-time energy and IoT analytics - Device connection and management workflows - Web3 wallets and transaction history - Token funding, transfers, and exchange features - Blockchain explorer integrations - DEX and NFT bridge interfaces - Serverless Node.js APIs with AWS Lambda - MongoDB data models and integrations - Automated CI/CD pipelines I have the shipped the following features: - Renewable-energy generation tracking - Energy exported and consumed metrics - Battery storage analytics - Carbon savings reporting - Three-second dashboard data updates - Minute, hourly, daily, monthly, quarterly, and yearly views - Global network map and energy leaderboard - Powerwall and IoT device management - Wallet funding, transfers, and exchange - Transaction history - Block explorer - Decentralized exchange - NFT bridge - Proof of Generation records - On-chain energy data retention - Dual-token and reward ecosystem - ESG and environmental impact reporting Skills used - Full-stack web development - Next.js development - Node.js backend development - Serverless architecture - Web3 application development - Blockchain dashboard development - REST API integration - MongoDB database development - Data visualization - IoT device integration - Responsive UI development - CI/CD implementation Tools and technologies - Next.js - Node.js - AWS Lambda - MongoDB - CI/CD - JavaScript - Web3 - Blockchain APIs - Data visualization libraries
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150
Cover image for Sonetra AI | Immersive Wellness App & Web Experience
Sonetra AI | Immersive Wellness App & Web Experience
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Cover image for I developed MLM Protect https://mlmprotec.com/,
I developed MLM Protect https://mlmprotec.com/, a business management platform with an administration dashboard, CRM functionality, product management, reporting, email campaigns, distribution-center management, and commission workflows. MLM Protec is a business-development and administration platform for managing MLM operations. The system combines member management, product administration, sales reporting, commission workflows, inventory, distribution centers, email campaigns, merchants, and fraud controls in one dashboard. The application includes: -Sales and membership dashboards - Affiliate and customer management - Administrator roles and departments - Product catalogs and collections - Enrollment packages - Inventory management - Distribution centers - Merchant management - Commission and payout reports - Country, rank, sales, and fraud reports - Email templates and broadcasts - Fraud-management tools - API integrations - Responsive administration screens I can build the frontend, backend APIs, database structure, administrative workflows, and deployment setup for your MLM, CRM, e-commerce, or business-management application. Skills used - Full-stack web development - CRM development - MLM software development - E-commerce development - Admin dashboard development - Database design - REST API development - API integration - Responsive web design - State management - Reporting and data visualization - Role and administrator management Tools and technologies - React - Redux - JavaScript - Node.js - ExpressJS - MongoDB - Spring Data MongoDB - NGINX - API integration - Database design - Responsive design
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Cover image for I worked as a full-stack
I worked as a full-stack software engineer on Mifu (https://mifu.io/), an AI influencer marketing platform for brands and creators. The product handles campaign planning, creator discovery, outreach, contracts, content approval, reporting, invoices, and creator payments. The application uses AWS Amplify, AWS AppSync GraphQL, Amazon Cognito, API Gateway, and Stripe. I worked across the frontend, backend, authentication, data flows, API integrations, and cloud infrastructure. I have worked on the following features: - Brand, creator, and team accounts - Role-based access - Subscription tiers - Seat limits - Creator-search quotas - Campaign-spend fees - Enterprise plans - Custom CRM integrations - White-label options Skills used - Full-stack SaaS development - Multi-sided marketplace development - AWS cloud integration - GraphQL API development - Authentication and authorization - Role-based access control - Database and data-flow design - Payment integration - Workflow automation - Creator search and filtering - Campaign management systems - File-upload workflows - Analytics dashboards - Responsive frontend development - API testing and debugging - Production deployment Tools and technologies - Next.js - React - AWS Amplify - AWS AppSync - GraphQL - Amazon Cognito - AWS API Gateway - Stripe - Vercel - Amplitude - Segment - Sentry - Chakra UI -REST APIs
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AWS Lambda(1)
Ali Nawaz Cheema's avatar
Ali Nawaz Cheema
Lahore, Pakistan
Full Stack Architect | Java, PHP, JavaScript, Cloud Solution
Full Stack Architect | Java, PHP, JavaScript, Cloud Solution
Cover image for BloomBoxClub: E-Commerce Integration with Serverless Fulfillment
BloomBoxClub: E-Commerce Integration with Serverless Fulfillment
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Cover image for ePay Punjab | Seamless Digital Payments | Spring Boot & Angular
ePay Punjab | Seamless Digital Payments | Spring Boot & Angular
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Cover image for Yallalist: E-Classified Portal for Listings & Job Opportunities
Yallalist: E-Classified Portal for Listings & Job Opportunities
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AWS Lambda(1)