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Jagan Kumar Hotta

Backend & Cloud Native Engineer || Building Vyapaay || FOSS Contributor || Runners Up @SIH 2024 || Deloitte || Zoho || Intel || C4GT @2025 || Data & AI Infrastructure || Member @Apache Iceberg || Contributor @Meshery

Bhubaneshwar

1+ year of work experience

Deloitte
Jul 20263 mosPresent

Bengaluru

Deloitte
Feb 20265 mosJun 2026

Mumbai

Working and learning on data engineering and analytics infrastructure with focus on data pipelines, ETL/ELT workflows, data quality, cloud-scale data movement, and business metric reliability. Focus areas: • Data pipeline design and transformation workflows • SQL, data modeling, and business metric validation • Cloud data engineering patterns • Reliability, documentation, and production-readiness • Applying backend/system design thinking to data infrastructure
Feb 20264 mosMay 2026

Odisha, India

Worked on a government-grade maritime surveillance platform for real-time coastal monitoring and operational decision-making. Key contributions: • Designed backend services for real-time GPS telemetry ingestion and operational APIs • Worked with Kafka-based event pipelines for vessel/device telemetry • Used TimescaleDB and PostGIS for time-series and geospatial data handling • Supported Kubernetes-based deployment and service reliability workflows • Built observability-oriented architecture using dashboards and operational metrics • Focused on low-latency tracking, geospatial correctness, and resilient field operations Tech: Go, Python, Kafka, TimescaleDB, PostGIS, Kubernetes, WebSockets, Prometheus, Grafana
Code for GovTech (C4GT)
Jun 20255 mosOct 2025

Remote

• Selected as a contributor under Code for GovTech (C4GT-DMP 2025), a national program supporting open-source contributions to government digital public infrastructure • Contributing to real-time video/audio infrastructure using NestJS, WebRTC, Mediasoup, and Kubernetes • Stack: NestJS · WebRTC · Mediasoup · Prisma · WebSockets · Kubernetes
E Labs
Jan 202510 mosOct 2025

• Leading cloud and DevOps track: conducting workshops on Git workflows, CI/CD pipelines, and Infrastructure as Code for student engineers • Mentoring juniors on monitoring dashboards and cloud fundamentals
E Labs
Aug 20246 mosJan 2025

Coding Ninjas: KIIT Chapter
Jul 20241 yr 1 moJul 2025

Jagan’s AI Stack

codex
codex
cursor
cursor
langchain
langchain
langgraph
langgraph
n8n
n8n
Amazon Q Developer
Amazon Q Developer

Education

KIIT - Kalinga Institute of Industrial Technology

BTECH, Computer Science Engineering

KIIT - Kalinga Institute of Industrial Technology

20224 yrs2026

Quantitative Finance Cohort'24

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Headline

Backend & Cloud Native Engineer || Building Vyapaay || FOSS Contributor || Runners Up @SIH 2024 || Deloitte || Zoho || Intel || C4GT @2025 || Data & AI Infrastructure || Member @Apache Iceberg || Contributor @Meshery

About

I am a Computer Science undergraduate and Data Engineering Intern at Deloitte, focused on backend systems, cloud-native infrastructure, data engineering, and AI-assisted developer tooling. My work spans Go/Python/NestJs backend services, Kubernetes-based deployments, real-time data pipelines, API design, observability, and test-driven development. I have worked on production-style systems across government maritime surveillance, API/microservice engineering, data infrastructure, and AI-powered automation. One of my core projects is a maritime surveillance platform for Odisha Coastal Police, involving real-time GPS telemetry, backend ingestion services, Kafka pipelines, TimescaleDB/PostGIS storage, Kubernetes deployment workflows, and operational dashboards. I have also worked with ConvertAPI on backend engineering and test-driven service development. Currently, I am deepening my contribution focus in cloud-native open source, especially around Meshery’s AI Adapter / AI Connections work. I am studying adapter boundaries, meshery-adapter-library, meshkit, protobuf contracts, Connections/Credentials, BYOM provider design, and schema-validated natural-language-to-infrastructure workflows. I care about building systems that are not only functional, but reliable, observable, secure, and maintainable. My engineering approach is simple: understand the architecture first, define clean boundaries, treat external/model output as untrusted, write tests early, and then implement incrementally. 📫 jaganhotta357@outlook.com | 🌐 techwithjagan.vercel.app

Location

Bhubaneshwar

AI stack

codex

cursor

langchain

langgraph

n8n

Amazon Q Developer

Work experience

Data Engineer at Deloitte, Jul 2026 - Present · 3 mos, Bengaluru

Data Engineering Intern at Deloitte, Feb 2026 - Jun 2026 · 5 mos, Mumbai, Working and learning on data engineering and analytics infrastructure with focus on data pipelines, ETL/ELT workflows, data quality, cloud-scale data movement, and business metric reliability. Focus areas: • Data pipeline design and transformation workflows • SQL, data modeling, and business metric validation • Cloud data engineering patterns • Reliability, documentation, and production-readiness • Applying backend/system design thinking to data infrastructure

Freelance Backend & Data Engineer — Government Client at Odisha Coastal Police, Government of Odisha, Feb 2026 - May 2026 · 4 mos, Odisha, India, Worked on a government-grade maritime surveillance platform for real-time coastal monitoring and operational decision-making. Key contributions: • Designed backend services for real-time GPS telemetry ingestion and operational APIs • Worked with Kafka-based event pipelines for vessel/device telemetry • Used TimescaleDB and PostGIS for time-series and geospatial data handling • Supported Kubernetes-based deployment and service reliability workflows • Built observability-oriented architecture using dashboards and operational metrics • Focused on low-latency tracking, geospatial correctness, and resilient field operations Tech: Go, Python, Kafka, TimescaleDB, PostGIS, Kubernetes, WebSockets, Prometheus, Grafana

SDE at Code for GovTech (C4GT), Jun 2025 - Oct 2025 · 5 mos, Remote, • Selected as a contributor under Code for GovTech (C4GT-DMP 2025), a national program supporting open-source contributions to government digital public infrastructure • Contributing to real-time video/audio infrastructure using NestJS, WebRTC, Mediasoup, and Kubernetes • Stack: NestJS · WebRTC · Mediasoup · Prisma · WebSockets · Kubernetes

Cloud Lead at E Labs, Jan 2025 - Oct 2025 · 10 mos, • Leading cloud and DevOps track: conducting workshops on Git workflows, CI/CD pipelines, and Infrastructure as Code for student engineers • Mentoring juniors on monitoring dashboards and cloud fundamentals

Cloud Engineer at E Labs, Aug 2024 - Jan 2025 · 6 mos

Administrator at Coding Ninjas: KIIT Chapter, Jul 2024 - Jul 2025 · 1 yr 1 mo

Education

BTECH, Computer Science Engineering, KIIT - Kalinga Institute of Industrial Technology

Quantitative Finance Cohort'24

Public links

github: https://github.com/techySphinx