Headline

Software Engineer | Backend amp; Distributed Systems | Python · Kafka · AWS | AWS Certified | VIT ’26

About

I’m a recent B.Tech Information Technology graduate from VIT Vellore (CGPA: 8.24/10), with a focus on backend engineering, distributed systems, data engineering, and scalable infrastructure. My primary interest is building systems that remain reliable under real-world constraints- high concurrency, service failures, large data volumes, and strict correctness requirements- and understanding what breaks when those constraints are pushed. Aetherline is my largest project to date: a 5-service, event-driven microservices platform spanning order, inventory, payment, notification, and gateway services. Built with Kafka, Docker, and Kubernetes, it uses PostgreSQL for transactional workloads, MongoDB for catalog data, and Redis for caching. The system sustains 1,200+ requests per second with p99 latency below 180 ms, including simulated service failures, supported by retries, circuit breakers, and dead-letter queues.FinSight is a financial data platform built to automate large-scale financial analysis. It processes 7+ years of XBRL filings across 14 companies and 4 sectors, combining a 30+ feature financial-ratio engine, XGBoost-based distress scoring with SHAP explainability, and the Gemini API. It reduced a financial screening workflow from several hours for six companies to under two minutes, backed by 50 automated tests and 9 documented regression cases. Previously, I worked as a Software Engineering Intern at Diginique TechLabs and iHUB IIT Roorkee, where I redesigned ETL pipelines processing 500,000+ records and reduced ingestion time by 35%. I also worked as an AI Project Contributor at Ignitarium Technology Solutions, contributing to a production computer-vision pipeline that achieved 94% detection accuracy. Across these projects, I’ve developed a strong emphasis on testing, observability, and failure handling. I’m particularly interested in the parts of engineering that go beyond the happy path—identifying bottlenecks, reproducing failures, validating correctness, and designing systems that continue to behave predictably under stress. I’m currently exploring opportunities in software engineering, backend engineering, data engineering, and analytics, and I’m always interested in connecting with people working on distributed systems, data platforms, or challenging engineering problems.

Location

Bengaluru

AI stack

aistudio

claude

gemini

ChatGPT

Cline

Wispr Flow

Work experience

Data & Customer Growth Intern at Diginique TechLabs & iHUB, IIT Roorkee, Jun 2024 - Jul 2024 · 2 mos, Bengaluru, Karnataka, India, – Engaged 60+ prospective accounts through customer-facing outreach, converting about 25% into onboarded, active customers. – Built a tracking system for 100+ accounts and analysed usage data to flag 8 at-risk accounts before churn, prompting targeted re-engagement outreach.

Core Committee Member at ROTARACT CLUB OF VIT, Mar 2023 - May 2025 · 2 yrs 3 mos, Vellore, Tamil Nadu, India, • Drove community impact for 200+ students and residents by organizing 5+ social impact events, coordinating logistics, and mobilizing volunteers across education and environmental campaigns.

Finance Lead at TEDxVIT, Mar 2023 - Dec 2024 · 1 yr 10 mos, Vellore, Tamil Nadu, India, • Secured full funding across 3 large-scale events with 500+ cumulative attendees by leading end-to-end corporate sponsorship acquisition and vendor negotiations, delivering every event on-budget with zero shortfall.

AI Project Contributor at Ignitarium, Dec 2021 - Apr 2022 · 5 mos, Bengaluru, Karnataka, India, – In Agile sprints, diagnosed reliability gaps in a production computer-vision pipeline via systematic root-cause debugging, delivering a production-ready model with 94% detection accuracy and full auditability. – Audited 20K+ image records to improve dataset integrity by 15%, then re-engineered the pipeline with GPU acceleration to cut execution time by 40%. – Designed and executed a structured test suite across varied input distributions, identifying and resolving 3 classes of failure modes before production deployment. – Documented the pipeline architecture and model configuration, cutting onboarding time for future contributors by about 35%.

Education

Bachelor of Technology - BTech, Information Technology, Vellore Institute of Technology

Class XI & XII, CBSE, Advaith International Academy

Public links

github: https://github.com/rishabhsatishjain7

leetcode: https://leetcode.com/rishabhsatishjain7