Data Science (AI/ML)

We transformed digital learning by replacing static content with a stateful AI tutor that provides a truly personalized 1:1 experience. Our platform dynamically adapts lessons in real-time based on a student's comprehension and emotional engagement, significantly boosting both understanding and motivation. The result is substantially improved mastery rates and a more engaging learning journey, all while giving teachers valuable time back by automating grading and progress reports.

Successfully transformed Probus Insurance's operations through comprehensive AI/ML implementation, enabling superior customer personalization, automated service excellence, intelligent process automation, and data-driven sales optimization, establishing a strong technological competitive advantage in the insurance brokerage market.

JashDS implemented an AI-powered workout personalization system that dynamically adapts to individual user patterns and training history, delivering intelligent gap analysis and muscle group imbalance correction for 10,000+ users across 38 time zones. The solution leveraged Claude 3.5 Sonnet AI to analyze previous workout completions, detect missing muscle groups, and generate personalized schedules that prioritize corrective training while maintaining optimal strength-cardio-core hierarchy based on each user's unique constraints and availability.

JashDS revolutionized medical document processing by developing an AI-powered extraction system that achieves 100% accuracy. Leveraging AWS cloud technologies and advanced language models, the solution transforms complex medical documents into structured, actionable data, dramatically reducing manual processing time and improving healthcare information management.

JashDS reduced customer churn by 10% for a gender-affirming healthcare platform by leveraging AI-driven analysis of conversation data, identifying key pain points, and providing actionable insights to improve service offerings and retention strategies.

JashDS revolutionized a company's hiring process by developing a GenAI-powered candidate screener that reduced time-to-hire by 50% and improved hiring outcomes. The solution leverages advanced language models to conduct dynamic, role-specific interviews, automatically generating and adapting questions based on job descriptions and candidate responses.

A German utility invoicing company streamlined their billing process using an Intelligent OCR solution, increasing form processing throughput by 60% and achieving over 90% accuracy. The system leveraged advanced Computer Vision and Deep Learning models to automate form classification, data extraction, and validation while providing a secure and scalable cloud-based infrastructure.

JashDS developed a flexible framework for analyzing Jira project data that is capable of handling varying export structures and custom fields. The solution leveraged GenAI and LLM technologies to provide actionable insights, identify productivity trends, and uncover potential risks across diverse software projects, resulting in a ___% improvement in team efficiency and a ___% increase in successful project outcomes.

JashDS deliver an AI-powered dermatological analysis PoC that combined YOLO-based lesion detection and VGG16-based classification in a scalable AWS environment.

The solution automated the entire lifecycle — from manual annotation to real-time inference — demonstrating the technical feasibility of AI-driven lesion detection and classification at scale.

This PoC establishes a strong foundation for future expansion into a production-grade, clinically validated dermatology AI platform, with potential for model refinement, retraining, and compliance-ready deployment.

A civic engagement SaaS platform serving municipalities struggled with fragmented business data from multiple sources, hampering their ability to provide reliable local economic development intelligence. JashDS implemented an automated Python-based deduplication and enrichment pipeline using fuzzy matching algorithms and AWS cloud infrastructure, reducing duplicate records by 90% and cutting manual data processing workload.

JashDS developed an automated bill data extraction system for a financial services company that replaced Finovera API limitations with AWS Bedrock's LLM capabilities, achieving over 95% accuracy in extracting complex billing information from unstructured PDF and image documents. The serverless solution successfully extracted additional custom fields unavailable through existing systems while processing 3,000 bills at approximately $30-$40 cost through an optimized three-Lambda architecture with Aurora PostgreSQL storage and comprehensive SQL-based validation workflows.

JashDS developed a 3D dental scan matching system for a leading dental technology company that significantly reduced prosthetic design time through automated processing and similarity search of dental scans. The AWS-based solution implemented advanced orientation correction algorithms, slice-based feature extraction, and vector embeddings in ChromaDB to enable dental professionals to efficiently retrieve anatomically similar previous designs, significantly enhancing consistency and productivity in prosthodontic workflows.

For a major telecom provider, developed a data-driven solution to optimize alarm resolution and reduced the number of alarms to review for resolution by 80% through root cause analysis, predictive modeling, and real-time correlation of router alarms.

JashDS developed an AI-powered resume-job matching engine for a leading Indian job portal, processing over 1M resumes and 50k job descriptions. The solution employed BERT embeddings and HNSW algorithms to create personalized job recommendations for candidates and streamline resume screening for recruiters, significantly enhancing the job search and recruitment processes.

JashDS revolutionized spiritual education for a prominent foundation by developing an AI-powered QA system and implementing a Langsmith-based evaluation pipeline that reduced development time. The solution incorporated advanced NLP techniques, including experimentation with embedding models and chunk sizes, paving the way for enhanced information retrieval and a more interactive learning experience for devotees.

JashDS developed an AI-powered computer vision system for a leading automotive e-commerce platform, enabling accurate extraction of tire dimensions from images. The solution, which increased conversion rates by 25% and reduced customer support inquiries by 80%, utilized advanced technologies such as YoloV8 for instance segmentation and custom-designed augmentation techniques to simplify the online tire purchasing process.

This transformative AI transportation system solved a critical bottleneck in real estate development by replacing manual, consultant-driven report generation with automated, AI-orchestrated analysis. By implementing a sophisticated multi-agent architecture through AWS Bedrock and LangGraph, the system enables developers to generate professional-grade transportation reports in under an hour while maintaining the quality and comprehensiveness of traditional consulting deliverables.

The platform's serverless architecture—delivering real-time API integration, intelligent data synthesis, and template-driven report generation—positions real estate developers and transportation consultants for the future of automated feasibility analysis. With measurable impacts including 80% cost reduction, 40x faster report generation, and 100% structural consistency, this solution demonstrates how AI can augment rather than replace domain expertise, allowing transportation professionals to focus on strategic analysis and recommendations while technology handles the systematic data collection and initial synthesis.

The successful implementation of this POC validates the potential for AI-driven automation in specialized consulting domains, setting the foundation for broader adoption of agentic AI architectures in transportation planning and real estate development workflows.

JashDS transformed spiritual content accessibility for a leading spiritual foundation by developing an advanced RAG-powered question-answering system that processes thousands of hours of video and audio teachings. The solution features intelligent multilingual transcription, hybrid search capabilities, and sophisticated content filtering, enabling devotees to instantly discover precise spiritual guidance with timestamp accuracy. Through innovative implementation of vector embeddings, multi-modal search, and LLM-based reranking, the system revolutionized how seekers interact with vast spiritual knowledge repositories, reducing content discovery time from hours to seconds.

Revolutionized legal document search by implementing semantic understanding capabilities that go far beyond traditional keyword matching. By leveraging advanced AI embeddings and vector similarity search across 165,000+ legal records, the platform enables legal professionals to find relevant documents based on meaning and context. The innovative section-wise chunking approach maintains legal document structure integrity while the dual-purpose architecture serves both direct search needs and powers intelligent legal AI chatbots, transforming how legal research and consultation are conducted.

A leading trusted platform empowering AI professionals to share their projects, insights, and innovations with the global AI community.

Leveraging GenAI and NLP technologies, we developed a system that generates engaging video highlights from YouTube podcasts and provides an interactive Q&A chatbot, reducing viewing time by 80% and increasing user engagement through personalized content interaction.

JashDS revolutionized a travel company's marketing strategy by implementing advanced machine learning models, resulting in a 20% reduction in marketing costs and a 20% increase in passengers served. The solution integrated customer interaction scoring, product ranking, and lifetime value prediction to deliver highly personalized marketing experiences and optimize resource allocation across various customer touchpoints.

JashDS revolutionized retail shelf management for a major grocery chain by developing an AI-powered real-time monitoring system. The solution utilized advanced computer vision techniques and deep learning models to detect out-of-stock and misplaced products, significantly improving inventory accuracy and enhancing the customer shopping experience while reducing manual labor costs.

A leading Indian personal loan provider revolutionized their underwriting process by leveraging AI and machine learning to automate 80% of loan decisions. By integrating social and financial data into a sophisticated predictive algorithm, the company drastically reduced decision times to seconds expanded access to underserved segments, and achieved lower default rates compared to human underwriters.