Anmol Chhabra

Bengaluru, IN.

About

Hi, I am Anmol, B.Tech Graduate from IIT Dhanbad with a strong foundation in Software Development, DevOps, and system design.

Experienced across Backend, Cloud, Frontend and distributed systems, having interned at various organizations with the roles included:

0. DevOps Engineering Intern at Yellow.ai
1. Software Engineering Intern at Samsung R&D Bangalore
2. Open-Source Developer under C4GT at PolicyEngine
3. Founding Engineering Intern at Anabi.ai
4. Full Stack Developer at Readyly
5. Frontend Developer at Trell

Work

Anabi.Ai
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Software Engineering Intern

Summary

Integrated SageMaker pipelines, streamlined code documentation, and optimized model features for scalability and accuracy. Devised a lightweight ETL pipeline that migrated 50,000+ data points from Airtable and Shopify to PostgreSQL, using paginated data transfer, task automation, and schedulers. Led the refresh of NG Instant Loan credit Machine Learning models (FTB and RB) using Python, AWS, SageMaker, and Snowflake, enhancing training samples, and model performance through data sampling, feature drift analysis, and stability tests.

Samsung
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Software Engineering Intern

Summary

Optimized Samsung's Reader View by analyzing parsing functions and node evaluation criteria across top 50 news articles. Enhanced the core functionality of 2G GSGB module, involving Network programming, with Unit tests in GTest. Built a Visualization tool using Python, Flask, and Graphviz to transform complex SQL queries into graphical representations.

Readyly
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Software Engineering Intern

Summary

Architected an optimized schema for concurrent operations on DynamoDB and S3, leveraging AWS Lambda and API Gateway, with testing using Pytest and Boto3, resulting in approximately 30% faster query performance. Created an analytics dashboard with interactive UI Design, charts, and events using Chart.js, Headless UI, and Redux. Implemented feature of Chat with Voice and automated JSON data processing with AWS Step Functions.

Yellow.ai
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DevOps Engineering Intern

Summary

- Automated Key rotation workflows for GCP and Azure using APIs and CLI, integrated with Slack bot for on-demand triggers. - Implemented PromQL-based memory and storage monitoring in Ansible playbooks, with custom alerting thresholds and detailed logging, resulting in 35% faster issue resolution. - Developed a Slack bot using Bolt, AWS Lambda and SQS, with features like Acknowledge, Nudge, Escalate, and TagOnCall, integrated logging in CloudWatch and deployment on ECR, utilizing DevContainers, and Linux CLI tools for local development.

Education

Indian Institute of Technology (ISM), Dhanbad

Bachelor of Technology

Computer and Electrical Engineering

Grade: 9.43/10

Awards

Algorithms

Awarded By

Various Coding Platforms

Solved 1300+ Data Structure and Algorithm Problems across various Coding Platforms.

C4GT'24 Mentee

Awarded By

PolicyEngine

Contributed to PolicyEngine as an Open Source Developer by replacing Sphinx docs with an interactive React, plotly.js and Streamlit setup and automating Jupyter Notebook builds in CI/CD.

Mathematics Olympiad '18 & '19

Qualified twice for the Mathematics Olympiad (PRMO).

Hackfest 2023

Led the team "Bit Lords" and secured 7th rank out of 500+ teams in a 36-hour Hackathon, developing a placement website.

SAIRC

Web Co-Coordinator at SAIRC, Worked on ISMConnect, a LinkedIn-type Website, to help 5000+ students connect with college alumni.

JEE Mains

Among 1% of the overall 1.1 Million Candidates who appeared in JEE Mains.

JEE Advanced

Qualified JEE Advanced 2021 with AIR 8158 out of 140K Candidates.

Projects

Market-Exchange Project

Summary

Developed a full-stack low-latency (200 ms), Event-Driven Microservice exchange architecture with in-memory operations for real-time transactions, following Singleton pattern and standard Binance API Docs. Built scalable Pub-Sub and queue systems using Redis for sockets, event-replay, and recovery mechanism. Designed a market-maker service to emulate trading traffic, enhancing system robustness with tests in Vitest.

Log Ingestor and Analysis

Summary

Advanced search queries using ElasticDB, with search within specific time ranges, regex and combination of filters. Ingestion capability using HTTP endpoint, and different microservices utilizing Kafka for efficient log processing. Dockerized, Scalabe, Multi-threaded Golang Backend for query engine and ingesting bulk (5000+) logs in batches.