I build the AI and data infrastructure powering decisions across a fintech company. From LLM underwriting engines and board-level portfolio analytics to automation systems operating across 80+ branches and 350+ agents, I work at the intersection of technology and business leadership, partnering with executive and department teams to solve problems that move the company forward. Not just an engineer who ships features, I’m a builder who changes how a business operates by turning complex data into accessible insights and scalable platforms.

Ananya Dhangar

I build the AI and data infrastructure powering decisions across a fintech company. From LLM underwriting engines and board-level portfolio analytics to automation systems operating across 80+ branches and 350+ agents, I work at the intersection of technology and business leadership, partnering with executive and department teams to solve problems that move the company forward. Not just an engineer who ships features, I’m a builder who changes how a business operates by turning complex data into accessible insights and scalable platforms.

Available to hire

I build the AI and data infrastructure powering decisions across a fintech company. From LLM underwriting engines and board-level portfolio analytics to automation systems operating across 80+ branches and 350+ agents, I work at the intersection of technology and business leadership, partnering with executive and department teams to solve problems that move the company forward.

Not just an engineer who ships features, I’m a builder who changes how a business operates by turning complex data into accessible insights and scalable platforms.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert

Work Experience

Python Developer at Kaabil Finance Private Limited
February 1, 2025 - Present
Built an AI loan underwriting system, iteratively optimizing LLM prompts to eliminate hallucination and enforce output consistency across CIBIL reports, PD interviews, valuation, and legal summaries — cutting manual credit review by 50% and decision latency by 20%. Developed hierarchical dashboards and on-demand reporting systems providing 350+ agents across 80+ branches real-time visibility into field performance, incentive targets, and collection health. Optimized MongoDB pipelines with indexing and caching; background processing with Celery. Implemented loan document automation (welcome letters, e-stamping, e-signing, and SOA ledgers) reducing loan turnaround by 40%. Built a bulk WhatsApp notices engine dispatching 5k–6k notices monthly across escalation stages. Field visit optimization via geo-spatial clustering to auto-assign 500+ field officers to shortest routes, cutting travel costs by 25%. Document intelligence pipeline using Amazon Rekognition and OpenCV to mask PAN, Aadh
Engineering Intern at TartanHQ Solutions Private Limited
February 1, 2024 - September 1, 2024
Developed a RESTful API platform integrating multiple HRMS systems using Django REST Framework, Docker, and AWS S3 for scalable enterprise data sharing. Implemented Redis caching reducing API response times by 30% and Celery async processing increasing system throughput by 20%. Designed a scheduler-driven change log tracking 100K+ daily data points, eliminating 100% of manual tracking effort.

Education

Bachelor of Technology in Computer Science and Engineering at Jaypee University of Information Technology
September 1, 2020 - June 1, 2024

Qualifications

Add your qualifications or awards here.

Industry Experience

Financial Services, Software & Internet, Professional Services, Other