Engineering The Future with Real-World Solutions

A leading B2B travel platform partnered with Aivar to migrate their application environments from GCP to a highly available, multi-region AWS architecture, leveraging AWS Control Tower, Amazon EKS, Amazon RDS (PostgreSQL), and AWS DMS.

A leading fintech platform, while redefining digital payments and personal finance experiences for millions of users across India, faced critical challenges around scalability, cost efficiency, and regulatory compliance on their existing cloud infrastructure. It became essential to re-architect the platform for performance, resilience, and future scalability.

A leading fintech platform serving 1M+ users, offering international travel banking solutions, faced pressure from a 30% chat escalation rate and 40% of agent time consumed by repetitive queries. Aivar deployed an integrated agentic AI support system that handles 50,000+ monthly sessions enabling 24/7 autonomous support at roughly 2× the previous capacity.

A leading Indian digital lending platform supporting customers across the full lending lifecycle faced a rigid chatbot that couldn't cross-sell, speak, or scale. Aivar architected a next-generation agentic conversational platform—introducing orchestrated AI agents with sub-3-second responses, 20% cross-sell conversion uplift, 40–50% agent bandwidth recovery, and 40% support cost reduction.

Reva.ai partnered with Aivar to develop an AI-driven policy governance platform using AWS services including Amazon Bedrock, SageMaker, and Amazon Verified Permissions. The architecture leverages multiple AWS managed services for high availability and scalability, supporting frameworks like Cedar and OPA while providing real-time monitoring and audit capabilities.

A leading logistics provider automated the processing of 100,000+ biweekly invoices from multiple carriers using an AI-powered, serverless AWS solution. The system ingests emails via Amazon SES, extracts and validates data with Amazon Textract and Bedrock, and processes Excel files with Lambda. This reduced manual labor costs by 70%, cut invoice processing costs by 40%, decreased errors by 30% with 97% accuracy.

A global customer engagement leader struggled with manual IT service management processes causing delays and high costs. Aivar implemented an AI-powered solution using AWS Bedrock Agents, Lambda, and Claude Sonnet 3.5 to automate ticket validation and routing achieving 98% validation accuracy, 95% faster processing (15 minutes vs 8 hours), and 40% cost reduction.

Elevate, a technology platform for startup growth, struggled with resource-intensive manual outreach that couldn’t scale with expanding programs. Aivar created an AI-powered voicebot using AWS Bedrock, WebRTC, and Deepgram STT that automates participant outreach from initial contact to follow-up. The solution achieved 60% improvement in outreach efficiency, 250 concurrent sessions, 72% automation rate.

The client is a freight execution platform that manages the end-to-end lifecycle of shipping goods - covering procurement, planning, execution, audit and payment across multiple carriers and customers. They assist enterprises by automating the ingestion and processing of large volumes of freight invoices and shipment documents received via email in diverse formats.

The client is a leading mobile engagement platform in India, serving major verticals including banking, e-commerce, and government. They personalize two-way customer care and marketing interactions with real-time alerts and confirmations, benefiting millions of end consumers through secure, omnichannel communication.

Sellergeni partnered with Aivar to migrate their Amazon product listing platform to AWS, leveraging Bedrock Agents, Lambda, API Gateway, S3, and CloudWatch. The GenAI-powered serverless architecture automates creation and validation of product titles, descriptions, bullet points, and keywords—delivering 80% faster generation, 70% higher accuracy, full scalability.