Aditya Ranjan

Software Engineer

San Francisco, California, United States5 yrs 11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

4+ years of experience in software engineering.
Led projects reducing outages by 30% at Swiggy.
Expert in AI-driven solutions and system resilience.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in AI and large-scale systems.

Contact

aditya.ranjan65@gmail.com LinkedIn

Skills

Core Skills

Software DevelopmentContinuous Integration And Continuous Delivery (ci/cd)Team Motivation

Other Skills

AWSAWS CloudWatchAWS EKSAlgorithmsArtificial Intelligence (AI)Back-End Web DevelopmentBig DataBig Data AnalyticsC (Programming Language)C++Cascading Style Sheets (CSS)CommunicationComputer ScienceComputer VisionData Analysis

About

Hey there! I’m Aditya, a curious builder and software engineer with 4+ years of experience across startups and big tech. I’m currently at Meta, working on cool stuff at scale. Before this, I was at Swiggy(India's largest food delivery platform), helping build and scale systems powering millions of orders (and cravings!). I recently wrapped up my Master’s in CS from UIUC, where I also dove into research at the IBM-Illinois Discovery Accelerator Institute. I’m all about solving tough problems, learning fast, and working with people who love what they do. Outside of work, you’ll find me geeking out on side projects or on a tennis court chasing down shots.

Experience

5 yrs 11 mos

Total Experience

1 yr 7 mos

Average Tenure

1 yr

Current Experience

Coordinated science laboratory at university of illinois

Graduate Research Assistant

Aug 2024 – Jun 2025 · 10 mos · Champaign, Illinois, United States · On-site

Analyzed GPU resilience in large-scale AI/HPC systems, uncovering critical failure patterns in NVIDIA Ampere GPUs and their impact on system reliability.
Building an LLM-driven agentic SRE system for automated fault detection and resilience management in HPC environments.
Designing optimization strategies for agentic frameworks.

University of illinois at urbana-champaign, school of information sciences

2 roles

Software Engineer

May 2024 – Aug 2024 · 3 mos · On-site

Creating an AI-powered Conversational System for Incident Reporting with Human Oversight at the SALT lab.

Software Engineer

Feb 2024 – May 2024 · 3 mos · On-site

Creating an AI-powered Conversational System for Incident Reporting with Human Oversight at the SALT lab.
Advisor: Prof. Yun Huang

Swiggy

3 roles

Software Development Engineer 2

Promoted

Nov 2022 – Dec 2023 · 1 yr 1 mo

● Led Continuous Delivery project, addressing service outages through root cause analyses with cross-functional teams and optimized canary runs, reducing outages by 30%
● Enhanced Code Anti-pattern Detection Platform using GitOps and AWS, automating scans and reducing code review times
by 40%, bolstering stability.
● Developed a platform to track critical changes in production using an ETL pipeline, enabling rapid response to outages.
● Engineered an Elasticsearch dashboard for improved antipattern management, achieving a 50% cost reduction.
● Guided junior developers in automating essential processes, improving platform efficiency by 25%, and elevating team productivity by 30%.

Software DevelopmentContinuous Integration and Continuous Delivery (CI/CD)DebuggingBack-End Web DevelopmentDevOpsTeamwork+14

Software Development Engineer 1

Jul 2020 – Oct 2022 · 2 yrs 3 mos

● Engineered a communication platform revamp using Golang, AWS, Kubernetes, and Docker, designing robust APIs and comprehensive testing, resulting in a 30% user adoption uplift.
● Integrated WhatsApp into the platform, enhancing lead conversion by 20% and showcasing strategic leadership.
● Developed scalable multi-vendor communication microservice with Prometheus and AWS CloudWatch, enhancing scalability, reliability, and operational efficiency.
● Collaborated on AWS EKS migration for the Kubernetes deployment platform, elevating platform reliability by 30%.
● Pioneered an off-peak deployment system to reduce outages by 50%, improving developer experience through Slack and Jira integrations.

Software DevelopmentPredictive AnalyticsScalabilityStatistical Data AnalysisContinuous Integration and Continuous Delivery (CI/CD)Back-End Web Development+16

Software Engineer Intern

Jan 2020 – Jul 2020 · 6 mos

● Developed a WAF script to detect and block scrapers, achieving a 95% detection rate and significantly improving service uptime, preventing revenue loss

Software DevelopmentStatistical Data AnalysisBack-End Web DevelopmentEasily AdaptableComputer ScienceTeam Motivation+5