APPLIED AI · SOFTWARE ENGINEERING
I build AI systems
people can rely on.
I'm Kaustubh, an engineer working across applied AI, machine learning, and software. I've worked with telecom reviewers and healthcare scheduling teams to turn operational problems into systems people can use in production.
01 / SELECTED WORK
A few things I've
helped build.
A closer look at two production systems, the problems behind them, and the parts I worked on.
Helping teams review field evidence with AI.
Our team built a validation workflow for telecom inspection submissions. I focused on LLM decisions, evidence verification, evaluation, and integrating the system into existing review work.
Making healthcare scheduling more responsive.
I contributed to appointment-risk prediction, cancellation-event processing, and application services for a healthcare scheduling platform—three related but distinct engineering workstreams.
These are generalized descriptions of engineering work, not production architecture reproductions. No customer data or confidential screenshots are included.
02 / ABOUT
I like the part where a prototype
meets the real world.
The interesting questions usually come after the initial demo: Which decisions need human review? How do you test a change? What happens when an input is incomplete or an upstream service fails?
My work spans AI validation, predictive ML, APIs, streaming data, and cloud delivery. What connects it is learning how people work, then building software that fits the problem.
03 / BACKGROUND
Experience.
Forward Deployed AI Engineer
ProfileDM Inc. / AI validation, evaluation, and customer delivery
ML Platform Engineer (Volunteer)
Bright Mind Enrichment & Schooling / CI/CD, release validation, and deployment automation
Technical Solutions Engineer (Contract)
Qualigeeks (OPC) Pvt. Ltd. / Healthcare ML, streaming, backend, and AWS systems
Data Engineer (EHS)
New Jersey Institute of Technology / Data integration, quality checks, and compliance reporting
M.S. Computer Engineering
New Jersey Institute of Technology / Graduate education
04 / TOOLS
Tools change.
Good engineering endures.
AI & machine learning
Amazon Bedrock, Claude, LangGraph, SageMaker, XGBoost, evaluation, human-in-the-loop workflows.
Software & data
Python, FastAPI, REST APIs, SQL, PostgreSQL, Databricks, Spark, Kafka, Airflow.
Cloud & delivery
AWS, Step Functions, Lambda, EKS, Terraform, Docker, CI/CD and observability.
Certifications · AWS Generative AI Developer – Professional · AWS Machine Learning – Associate · AWS Developer – Associate
05 / CONTACT
Have an interesting
problem to solve?
I'm happy to connect about applied AI, software engineering, and building practical tools with teams.
kaustubh.rp.99@gmail.com