Our Work

Designed and developed an intelligent, AI-powered chronic care management system for HealthNumeric, focused on real-time remote patient monitoring. The platform leverages machine learning algorithms to analyze health data from connected medical devices, enabling early detection of potential health risks and timely intervention. The system improves patient outcomes, reduces hospital readmissions, and supports care teams with automated alerts, customizable care plans, and predictive analytics.

• 📌 Problem Solved Manual tracking of vitals led to delayed interventions.
• ✅ Solution AI-based alerts for early risk detection.
• 🚀 Impact Reduced hospital readmission rates by 30%.

Engineered an AI-driven platform for Legalmente that automates the creation, verification, and processing of legal documents, significantly reducing manual effort and human error. The system supports end-to-end workflows for tasks such as LLC formation, contract generation, and compliance checks. Leveraging natural language processing (NLP) and machine learning, it ensures document accuracy, flags inconsistencies, and provides users with real-time guidance, accelerating legal procedures and improving user experience.

• 📌 Problem Solved Time-consuming and error-prone manual verification.
• ✅ Solution AI-powered contract scanning and validation.
• 🚀 Impact Reduced document processing time by 80%.

Developed a comprehensive, web-based client management platform for Calpion, tailored specifically for behavioral health service providers. The system streamlines client intake, treatment planning, appointment scheduling, progress tracking, and documentation. Designed with HIPAA compliance and user-friendly workflows, the platform enhances care coordination, improves operational efficiency, and supports providers in delivering personalized, data-driven mental health services.

• 📌 Problem Solved Lack of a centralized system for tracking patient progress.
• ✅ Solution Developed a secure platform for therapists and clients.
• 🚀 Impact Improved client engagement and case tracking efficiency by 50%.

Developed a scalable, automated web scraping framework for Milestone Inc. to extract structured data from dynamic websites. The system handles JavaScript-rendered content, pagination, and anti-bot measures using rotating proxies and headless browsers. Cleaned and normalized data is delivered to cloud storage and analytics tools, enabling real-time insights for market research, lead generation, and competitor tracking. Reduced manual research time by over 70% and improved data accuracy across key business reports.

• 📌 Problem Solved Manual data collection was inefficient.
• ✅ Solution AI-driven scraping for real-time data extraction.
• 🚀 Impact Reduced data retrieval time by 90%.

Designed and developed a high-throughput, real-time data processing platform for Indusface, capable of ingesting and analyzing massive streams of data from various sources. The platform leverages distributed computing frameworks such as Apache Kafka and Apache Flink, ensuring scalability, fault-tolerance, and low-latency processing. Integrated advanced analytics to deliver actionable insights in real-time, empowering decision-making for security monitoring, performance optimization, and anomaly detection. The system supports seamless integration with cloud storage and visualization tools, driving enhanced operational efficiency and data-driven business strategies.

• 📌 Problem Solved Slow processing of large-scale data.
• ✅ Solution Built a scalable, real-time analytics system.
• 🚀 Impact Increased data processing speed by 10x.

Designed and implemented a fully customized CRM and sales tracking platform for ZodiacInfotech, tailored to streamline lead management, automate sales workflows, and enhance customer engagement across multiple channels. The system included lead capture automation, deal pipeline visualization, follow-up reminders, and performance analytics dashboards, enabling the sales team to track progress in real time, reduce manual effort, and make data-driven decisions that improved overall conversion rates and customer retention.

• 📌 Problem Solved Ineffective tracking of customer interactions.
• ✅ Solution AI-driven CRM with automated reports.
• 🚀 Impact Boosted sales conversions by 40%.