Hi, I'mMuhammad TalhaGenerative AI Software Engineer

Transformed the client's manual proposal creation process by building an intelligent automation system that converts meeting transcripts directly into professional business proposals. The solution eliminates hours of manual work by automatically extracting key information from client meetings, generating structured proposals with executive summaries and project timelines, and seamlessly integrating with their existing Google Workspace ecosystem for document management and email-based approval workflows. Built with local LLM inference for data privacy and containerized deployment for scalability, the system achieved a 90% reduction in proposal generation time while maintaining consistency and quality. This integration enhanced their sales team's productivity, allowing them to respond to client requests faster and focus on relationship-building rather than administrative tasks.

Transformed contract review workflows by building a production-ready AI-powered SaaS platform that automates legal document analysis and risk assessment. Previously, legal teams spent hours manually reviewing contracts, identifying risks, and extracting key terms—a time-consuming process prone to human error. The platform revolutionizes this workflow through an intelligent serverless pipeline: users upload PDF contracts via the modern Next.js frontend, AWS Textract extracts text with intelligent OCR, AWS Bedrock (Claude 3 Sonnet) analyzes content for risks and clause extraction, SageMaker ML models calculate real-time risk scores (0-100), results are stored in DynamoDB with full audit trails, and automated SNS email alerts notify stakeholders of critical findings—reducing review time by 80-85%. The event-driven serverless architecture (S3 → Textract → Bedrock → SageMaker → DynamoDB → SNS) ensures scalable, cost-effective processing that handles high-volume contract analysis, while the React/TypeScript dashboard provides real-time status tracking, detailed risk visualizations, and intuitive contract management. This enterprise-grade implementation enables legal teams to process contracts in minutes instead of hours, identify risks more consistently, and focus on strategic decision-making rather than manual document review.

Engineered an AI assistant that combines advanced natural language understanding, multi-modal reasoning, and enterprise-grade privacy to deliver capabilities that go far beyond traditional automation. ELITA processes complex, multi-step requests across voice and text, understanding context, intent, and nuance to execute sophisticated workflows that would typically require human intelligence. The system leverages a revolutionary dual LLM architecture—using local processing for sensitive data protection and cloud-based advanced reasoning—enabling it to analyze documents semantically, extract insights from unstructured data, and make intelligent decisions autonomously. ELITA doesn't just follow commands; it reasons through problems, connects information across multiple sources, anticipates needs based on patterns, and orchestrates complex multi-system workflows across Google Workspace and Microsoft 365 simultaneously. Built with cutting-edge RAG technology for intelligent document understanding and advanced voice processing, ELITA can handle everything from analyzing contract terms across thousands of documents to coordinating multi-party meetings based on availability patterns and priorities. This extraordinary implementation transformed the client's operations, enabling their team to accomplish in minutes what previously took hours, while maintaining enterprise security and privacy standards that exceed industry requirements.

Developed a Kotlin app capturing candlestick chart images from TradingView to predict forex trends. Trained and optimized a CNN model in TensorFlow, achieving 82% accuracy for buy/sell classification. Deployed the model via Flask REST API for real-time mobile inference.

Delivered an enterprise-grade AI-powered knowledge access system that empowers employees in a large financial organization to independently retrieve sensitive financial data, market intelligence, and domain-specific information without relying on support teams or manual data requests. The solution transforms how employees access critical information—instead of submitting requests and waiting for responses, team members can instantly query the system using natural language to get precise answers about financial products, market conditions, compliance requirements, and real-time trading data. Built with advanced NLP technology and fine-tuned on the organization's proprietary financial knowledge base, the system understands complex queries, extracts insights from sensitive documents, and provides accurate, context-aware responses while maintaining strict data security and access controls. The platform integrates live market data feeds including FX rates and commodity prices, ensuring employees always have access to the most current information for decision-making. This professional implementation eliminated bottlenecks in information access, reduced dependency on specialized teams for routine data queries, and enabled employees across departments to work more efficiently by giving them direct, secure access to the knowledge they need to complete their work effectively.

Transformed the client's decision-making process by replacing their fragmented, manual data analysis workflow with a unified business intelligence platform that provides real-time insights across all operations. Previously, the client's team spent hours each week manually compiling data from multiple Google Sheets, creating reports, and trying to understand business performance—a process that was time-consuming, error-prone, and often outdated by the time decisions needed to be made. The new platform automatically consolidates revenue, leads, events, and community data into a single, live dashboard that updates instantly as data changes, eliminating the need for manual refreshes or report generation. This transformation fundamentally changed how the client operates: executives can now make data-driven decisions in real-time, the sales team can instantly see which leads need attention and which campaigns are performing best, and the marketing team can track event ROI and member engagement trends without waiting for weekly reports. The system's intelligent lead scoring and churn risk analysis enable proactive member retention, while revenue and spend visualizations provide immediate clarity on what's working and what needs adjustment. This professional implementation didn't just automate reporting—it revolutionized their workflow, enabling faster decision-making, more strategic resource allocation, and a data-driven culture that transformed how the entire organization operates on a daily basis.

Transformed how forex traders discover trusted brokers and access trading automation tools by building a comprehensive platform that eliminates the guesswork and risk from broker selection and bot acquisition. Previously, traders faced a fragmented landscape where finding reliable broker information required extensive research across multiple sources, and accessing quality trading bots meant navigating unverified marketplaces with security concerns. The platform revolutionized this workflow by providing a centralized, trusted hub where traders can instantly access detailed broker insights including compliance status, platform features, user ratings, and transparent pros/cons—all in one place, enabling informed decisions in minutes instead of days of research. The secure trading bots marketplace transformed how traders access automation tools, with version-controlled bots, verified uploads, and protected downloads that ensure security and reliability. This professional implementation fundamentally changed traders' daily operations: they can now confidently select brokers based on comprehensive, verified information, access trusted trading automation without security risks, and make trading decisions faster with complete transparency. The platform's intelligent filtering and sorting capabilities save traders countless hours of research, while the role-based access system ensures secure, professional management of resources. This transformation empowered traders to focus on trading strategy rather than broker research and tool verification, creating a more efficient and trustworthy trading ecosystem.