Kartik Dharkar

Backend and Applied AI Engineer building production-grade GenAI systems, real-time APIs, and Databricks-based ETL pipelines. Skilled in Python, FastAPI, AWS Bedrock, RAG pipelines, and Medallion Architecture. Delivered POS-integrated retail analytics platforms and automation workflows that reduced operational overhead, improved data reliability, and accelerated decision-making across multi-store environments.

Python Developer (Applied AI / GenAI Backend) - Betasys AI Private Limited - Nagpur, India

(2024-10)

• Led development of 3 production-grade GenAI platforms for analytics and conversational intelligence, supporting daily users and accelerating decision-making.
• Designed Databricks Medallion ETL pipelines processing 100K+ records/day with 99.8% data quality for reliable analytics.
• Integrated 15+ Verifone and Gilbarco POS systems to deliver real-time sales and fuel analytics, reducing manual reporting by 80%.
• Built low-latency REST and WebSocket APIs for real-time dashboards, achieving sub-200ms response times under concurrent load.
• Implemented OCR-based invoice automation and vector semantic search, cutting manual entry by 75% and improving AI answer accuracy to 92%.

Python Developer - RAK Softech Private Limited - Nagpur, India

(2024-04 - 2024-09)

• Built Python-based ingestion and transformation pipelines from SAP OData, processing tens of thousands of records/day and enabling automated operational reporting.
• Developed backend systems for RTNSmart integrating Verifone and Gilbarco POS, automating multi-store reconciliation workflows and reducing reconciliation cycle time from weekly to daily.
• Automated Scan Data Program pipelines for tobacco vendors, reducing manual reporting effort and improving data consistency.
• Implemented event-driven pricing pipelines synchronizing weekly pricing updates from external APIs with >99% accuracy, eliminating stale pricing issues and reducing support tickets.
• Supported and monitored live ETL and real-time ingestion pipelines, achieving >99% data availability and consistent SLA compliance across production reporting workloads.

Python Intern - RAK Softech Private Limited - Nagpur, India

(2022-12 - 2023-05)

• Built time-series forecasting models for sales trend analysis, achieving 80% accuracy in quarterly revenue predictions.
• Developed ML models for customer segmentation and sales prediction, improving performance by 15% over baseline methods.
• Worked with chatbots, streaming data pipelines, and cloud deployments, gaining hands-on experience in applied ML systems.

Bachelor of Technology - Electronics and Telecommunication - G. H. Raisoni College of Engineering (2019 - 2023)