Khalid Riyaz

Software Engineer

India6 yrs 4 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in building scalable AI software for healthcare.
Proficient in developing fault-tolerant microservices.
Strong background in AI/ML and cloud technologies.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer specializing in AI/ML solutions for Healthcare.

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Skills

Core Skills

MicroservicesNlpPythonDjango

Other Skills

API DevelopmentAPIsAWSAlgorithmsAmazon S3Amazon Web Services (AWS)AngularAngularJSC++Data StructuresDockerETLElasticsearchFlaskJava

About

Experienced software engineer with a strong track record of delivering products end-end and high-impact features, optimizing backend performance, and building robust systems at scale. Skilled in designing and implementing fault-tolerant, high-throughput services, with a focus on clean architecture, API design, and system reliability. 🔧 Technical Skillset: Languages & Tools: Python, Java, Javascript, TypeScript, React, SQL, Kubernetes, Docker, Redis, Kafka, PostgreSQL, NoSQL, React, Angular, NodeJS Systems: Microservices, Event-driven architecture, Distributed systems, REST/gRPC APIs, CI/CD pipelines AI/ML: LLM integration, Retrieval-Augmented Generation (RAG), prompt engineering, vector databases (e.g., FAISS, Pinecone) I Graduated from BITS Pilani in 2020.

Experience

Airbnb

Software Engineer

Aug 2022 – Present · 3 yrs 7 mos

Concertai

2 roles

Software Engineer

Jul 2021 – Aug 2022 · 1 yr 1 mo

Building robust and highly scalable AI software for healthcare and NLP @ ConcertAI:
Building a system to enable automated extraction of information from millions of documents/clinical notes & reports in the cloud (AWS).
Building scalable Microservices with accessible APIs for high performance NLP
Clinical data validation platform with a robust test suite
ETL & Analytical pipelines

AWSMicroservicesNLPETLAPIs

Associate Software Engineer

Jul 2020 – Jul 2021 · 1 yr

Google

Google Summer of Code - CloudCV

Jun 2020 – Aug 2020 · 2 mos

Worked on EvalAI, an open source platform to host challenges and evaluate AI/ML algorithms & models at scale:
Built a Challenge creation dashboard and pipeline, reducing setup time from a day to a under a minute.
Enabled Challenge creation and management through Github, using a config file stored in a private repo.
Built a challenge monitoring pipeline + dashboard for hosts to monitor metrics, logs and resource usage.
Enabled auto reload of evaluation services on AWS, triggered by DB updates.
Tech stack - Python, Django, JavaScript, Angular, AWS, HTML & CSS

PythonDjangoJavaScriptAngularAWS

Ekincare

Software Development Engineer - Intern

Jan 2020 – Jun 2020 · 5 mos · Greater Hyderabad Area

Tech Stack: Ruby on Rails, PostgreSQL, React & AWS.
Ekincare is a data driven end-end integrated healthcare and wellness platform for enterprises to be more efficient and strategic in delivering and optimizing their health benefits

Google code-in

Google Code-in Mentor - CloudCV

Dec 2019 – Jan 2020 · 1 mo

Mentored high school students to make open source contributions to CloudCV, as part of the Google Code-In program
Responsibilities involved:
Creating & assigning tasks to make improvements on a project, varying from testing to new features
Code Reviews & helping them understand the project & resolve any difficulties

Google summer of code

Google Summer of Code - CloudCV

May 2019 – Aug 2019 · 3 mos

Worked on EvalAI, an Open-Source platform for evaluating and comparing ML and AI models & algorithms at scale:
Designed test suite for the evaluation worker & migrated it to AWS Fargate to leverage serverless architecture and autoscaling.
Built a Challenge management dashboard for centralized control of challenge environment and evaluation workers.
Enabled user specified custom environments for hosting challenges and evaluating models.
Built pipeline for restricted challenges, to securely load non-persistent private evaluation/annotation data for metrics calculation.
Tech Stack: Python, Django, PostgreSQL, AngularJS, AWS & Docker