Portfolio
Photo of Kaushal Grover

Kaushal Grover

Backend Developer

Available for work

Open to hybrid or fully remote work

About

I’m a full stack engineer who works on problems where the code itself is the easy part. The real work is the architecture and logic behind it, built to stay reliable under real-world conditions. I’ve built web-scraping systems that keep working as vendor sites change their bot defenses, microservices that place real orders and track real inventory in a vendor’s system, using tokens and cookies where there’s no official API to call, and pipelines that move tens of millions of records a day without falling over.

I’ve also spent a good amount of time on the less visible plumbing that makes a product actually work end to end: payment integrations, JWT-based auth, granular permission systems, tamper-evident consent audit trails, and a solid grounding in Linux systems and networking, including secure remote access, VPN setups, and cloud network configuration.

Skills

Languages & Frameworks: Python, PySpark, Scrapy, Playwright, Patchright, PyTest, Scikit-learn, Matplotlib, Flask, Go, Node.js, React, JavaScript, TypeScript

Data & Databases: PostgreSQL, MongoDB, Apache Superset, Tableau, Airflow, Machine Learning, Survival Analysis

Cloud & Infrastructure: AWS Lambda, Step Functions, SQS, ECS, EC2, ALB, Secrets Manager, Global Accelerator, NATS, Docker, Minikube (Kubernetes), Linux, Bash Scripting, OpenTofu, SFTP

Auth & Payments: JWT, Stripe, Role-Based Access Control, MFA, Twingate, Tailscale

Tooling & Monitoring: Git, GitHub, GitLab, Sentry, Airbrake

Experience

Backend Developer

Apr 2025 - Current · 1 yr 5 mo

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.
  • Built and maintained frontend production pages and internal admin dashboards using Node.js and TypeScript, alongside the backend scraping and integration work.
  • 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.

Data Engineer

Sep 2024 - Apr 2025 · 8 months

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).
  • Built payment integration and terms-of-service/privacy-policy consent flows, backed by tamper-evident consent audit trails, working across the stack: Go on the backend, Node.js and React on the frontend.
  • 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.

Master’s Dissertation

Jan 2024 - Jun 2024 · 6 months

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.

Summer Intern

Jun 2023 - Jul 2023 · 2 months

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.

Education

M.Sc. Computational Sciences

Sep 2022 - Aug 2024 · 2 years

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.

B.Sc. (Hons) Biochemistry

Jul 2019 - Jul 2022 · 3 years

Shivaji College, University of Delhi · CGPA 8.43 / 10

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

Publications

Co-author

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 ↗

Acknowledged

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 ↗

Projects

Honors & Awards

3rd Place: “Skills to Start-Up”

IISER Bhopal · National Scipreneur Competition

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

Hackathon: “Diabetes Solution”

ISCB RSG India

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

Volunteer Experience

Member

Apr 2023 - Apr 2024

ISCB RSG India

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

Anchor, “Scientegration” 2023

Oct 2023

JNU, New Delhi

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

Anchor, Nanoparticles Workshop

Feb 2021

Shivaji College, University of Delhi

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

Test Scores

IELTS English
8 / 9
DBT India Scholarship
Awarded
GAT-B ’22
AIR 31
GATE Biotechnology ’22
Qualified
IIT JAM ’22
Qualified
TIFR JGEEBILS ’22
Qualified