Lead System Architect · High Quality Real Estate LLC
Nikit
K C
I build systems, work with data, and bridge the gap between technical problems and real business outcomes.
Scroll to explore
Lead System Architect · High Quality Real Estate LLC
I build systems, work with data, and bridge the gap between technical problems and real business outcomes.
Scroll to explore
I'm a final year MS Computer Science student at Clark University, graduating May 2026, where I'm a Dean's Scholar. I've spent the last few years doing things most CS students haven't.
I worked in healthcare data at Cotiviti, processing raw client data and making sure what came in matched what the business needed. Then I moved to Massachusetts and took on a Lead System Architect role at a real estate company, where I built the entire digital operation from the ground up and led an offshore team to ship a full real estate platform.
I'm not just a technical person. I understand the business side, I communicate well across teams, and I've always been more interested in solving the right problem than just writing clean code.
High Quality Real Estate
Built the entire digital infrastructure from scratch and led an offshore team of four developers to ship www.hquality.ai, a full end-to-end real estate platform for agents and brokers. Automated offer form processing, cutting completion time by over 50%. Currently leading Agile development of a Learning Management System for Real Estate and Mortgage Pre-Licensing Education.
Gr8 Real Estate
Implemented AI tools to streamline daily real estate operations and improve team productivity. Led onboarding of CRM and property management platforms, reducing onboarding time by 35%.
Cotiviti
Worked in the Implementation Services team as the first point of contact for raw client data. Wrote complex SQL queries to analyze, validate, and troubleshoot large-scale healthcare datasets including Claims, Eligibility, Pharmacy, and EMR. Collaborated with onshore and offshore project managers to build end-to-end data mapping scripts.
Fusemachines
Front-end engineer for the Annotation Tool Project. Built interactive interfaces that improved ML data labeling workflows. Collaborated on the Fusemachines Examination Platform, participating in Agile sprint cycles and improving deployment reliability.
Next Nepal Pvt Ltd
Performed data cleaning, transformation, and validation on operational datasets to ensure data integrity for reporting. Developed dashboards and reports using Tableau and Power BI to surface business insights for stakeholders.
Proposed a novel hybrid deep learning architecture combining ResNet50 and Vision Transformer (ViT) for multiclass image forgery detection. Edge enhancement was applied using the Canny edge detection algorithm before passing images through ResNet50 for feature extraction and ViT for classification into copy-move, spliced, inpainted, or authentic categories. The model was trained on 12,000 images from publicly available datasets (CASIAv2, NIST, COMOFOD) and achieved 87.88% accuracy, outperforming established models including standalone ViT, VGG16, MobileNetV2, ResNet101, and InceptionV3.
Clark University
Kathmandu University
Graduating May 2026. Feel free to reach out about opportunities, collaborations, or just to say hello.