Kaushal Grover

Lilo (now Inn-Flow) Santiago, Chile · Remote

A B2B marketplace aggregating hotel-supply vendors (HD Supply, US Foods, Amazon and more) for price comparison and streamlined procurement across US hospitality businesses. Acquired by Inn-Flow (USA) in May 2026.

• Built and maintained large-scale web-scraping systems in Python (Scrapy, Patchright, Playwright) to extract vendor data across 20+ vendor sites, using residential proxies and techniques to bypass Cloudflare, Akamai, PerimeterX and other bot/CAPTCHA protections.
• Built a client-onboarding pipeline, orchestrated with AWS Lambda and Step Functions, that scraped and structured clients’ past purchases, order guides and brand-standard products, onboarding 100+ hotels onto the platform.
• Developed and deployed (on ECS, with a staging environment) backend microservices in Node.js/TypeScript powering real-time vendor integrations across 8 vendors: placing orders, fetching live pricing and stock, replicating cart state and tracking order status without public APIs, using auth tokens, cookies and custom scraping-based connections.
• Worked with AWS (Lambda, SQS, Step Functions, ECS, EC2), NATS and MongoDB for backend infrastructure.
• Leveraged Claude AI, including via the Playwright MCP, to accelerate scraper development and bot-detection bypass techniques, and to build frontend pages for internal tools.
• Used Sentry for error monitoring; worked across GitHub and GitLab for version control and CI/CD.

Remitz Puerto Rico, USA · Remote

A leading provider of automated revenue recovery services: smarter medical billing and claims collection.

• Designed and implemented scalable pipelines with PySpark, PostgreSQL, AWS and Python, processing 50M+ claims and remits daily, using OOP principles for modular, reusable code.
• Deployed Apache Superset in a production-like Minikube (Kubernetes) environment, configuring embedded dashboards and role-based access control (RBAC) to support the move off Tableau.
• Revamped legacy PySpark transformation logic with class-based designs, achieving 70% faster pipeline runtime on Linux servers.
• Worked extensively on backend services in Go across multiple projects, and on the PostgreSQL database including staging setup and migrations; contributed to frontend work occasionally.
• Implemented auth and payments infrastructure, including JWT-based auth, Stripe integration, and a granular capability-style RBAC system for fine-grained endpoint access; also added multi-factor authentication (MFA).
• Managed and deployed pipelines on a self-administered bare-metal Linux server, handling infrastructure setup and maintenance independently.
• Managed core AWS infrastructure (ALB, Secrets Manager, Global Accelerator, ECS clusters) and SFTP-based file transfer with a third-party cloud provider; built a staging environment replicating 6+ ECS instances with their own database and Secrets Manager.

Jawaharlal Nehru University (JNU) New Delhi, India · On-site

Dr. Arnab Bhattacharjee’s Lab, Department of Computational and Integrative Sciences (SCIS): identification of novel biomarkers for Head & Neck Squamous Cell Carcinoma using AMPK pathway gene-expression data.

• Analysed 830 gene-expression patient samples, applying data normalisation and differential-expression techniques.
• Developed 10-fold cross-validated Cox Proportional Hazard models in Python and scikit-learn, incorporating three regularisation techniques.
• Validated results through statistical analysis (ROC curves, PCA, correlation heatmaps, network graphs, immune-response analysis), improving model accuracy to 70% and providing insights for cancer prognosis.

Indian Institute of Science (IISc) Bangalore, India · On-site

Dr. Mohit Kumar Jolly’s Lab, Department of Biological Sciences and Bioengineering (BSSE).

• Collaborated with 2 PhD fellows, completing 2 projects during the internship.
• Co-authored the resulting paper (doi.org/10.1038/s41540-024-00433-6), showcasing strong documentation skills.
• Applied multivariate and univariate Cox models and Kaplan-Meier techniques to the patient dataset, uncovering key insights into survival and patient outcomes.
• Ran statistical tests in Python to surface further insights into survival and patient outcomes.

Jawaharlal Nehru University, New Delhi · CGPA 7.54 / 9

• Ranked first in the M.Sc. program.
• Collaborated with two PhD students on research, paper under review.
• Concentrations: Bioinformatics, Data Structures, Python & R, Statistics I & II, Calculus I & II, Machine Learning, Omics Sciences, Molecular Simulation, Linux.

Shivaji College, University of Delhi · CGPA 8.43 / 10

• Editorial member for the 4th edition of the departmental magazine Biokemi; published an original article.

Duddu, A. S., Andreas, E., Harshavardhan, B., Grover, K., Singh, V. R., Hari, K., Jhunjhunwala, S., Cummins, B., Gedeon, T., & Jolly, M. K. (2024). Multistability and predominant double-positive states in a four-node mutually repressive network: a case study of Th1/Th2/Th17/T-reg differentiation. npj Systems Biology and Applications. DOI ↗

Sharma, M., Vavilala, P., Singh, A., & Baweja, R. (2022). Effect of milk and mustard oil consumption: A case study on youth in Delhi-NCR. Nutrition and Health, 29(1), 25–29. DOI ↗

IISER Bhopal · National Scipreneur Competition

Built and pitched a business model around a scientific problem, competing against teams including PhD candidates.

ISCB RSG India

Prize-winning analysis of differentially expressed genes, PPI network construction and GO enrichment for diabetes-related genes.

ISCB RSG India

Ran the RSG India YouTube channel and designed 10+ promotional posters and flyers, driving a 30% lift in event attendance.

JNU, New Delhi

Hosted the 4th departmental symposium: introduced speakers, faculty and guests across two days of PhD presentations.

Shivaji College, University of Delhi

Facilitated interactive sessions for 50+ participants across a 3-day hands-on workshop.