↓ Résumé

Ashutosh Kumar

Backend & Data Engineer

Python · ETL · LLM Integration

I build the systems that move, shape, and reason over data at scale — backend services, ETL pipelines, and LLM-powered automation for analytics-heavy products. Based in Kolkata, India.

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GitHub ↗ LinkedIn ↗ LeetCode ↗ Email
3+ Years experience
25+ ETL pipelines
98% Deploy time cut
100K+ LLM-scored signals
01What I Do

Backend Systems

Led the migration of a tightly coupled monolith into a modular, multi-tenant SaaS backend on Django/DRF and FastAPI — cutting database query latency 50% through indexing, caching, and query optimization.

Data Engineering

Architected the ingestion and transformation backbone — Argo Workflows and BigQuery pipelines turning raw multi-brand data into standardized analytics tables that power reporting and KPIs.

AI Integration

Built an LLM-powered scoring engine on the OpenAI API that evaluates semantic alignment across 100K+ intent signals in production — plus LLM-backed automation wired directly into core backend services.

02Skills
Languages
PythonSQLJavaScriptGo
Backend
DjangoDjango REST FrameworkFastAPIREST API Design
Data
BigQueryPostgreSQLMySQLMongoDBRedisETL / ELTData Modeling
Orchestration
Argo WorkflowsKubernetes CronJobsRabbitMQ
Cloud & DevOps
GCP · GKECloud RunCloud StorageArtifact RegistryLog ExplorerDockerKubernetesGitHub ActionsBitbucket PipelinesAzure DevOpsSentry
AI / LLM
OpenAI APILLM IntegrationPrompt DesignSemantic ScoringEmbedding-based Matching
Dev Tools
VS CodePyCharmClaude CodePostmanDocker DesktopDBeaverGit Bash
03Experience
Soliva Technologies Jul 2023 — Present

Lead Backend Developer Kolkata, West Bengal

  • Lead a 4-engineer team delivering backend and data infrastructure for analytics, automation, and reporting in Agile sprints.
  • Architected 25+ ETL pipelines and an Argo Workflows / BigQuery ingestion framework, aggregating multi-brand data into 50+ raw and standardized analytics tables.
  • Migrated the core product from a monolith to a modular, multi-tenant SaaS backend — onboarding 7+ clients with isolated data and config layers.
  • Designed and maintained 50+ REST APIs and 70+ ORM models powering ingestion, analytics, and automation across the platform.
  • Built an LLM-powered scoring system on the OpenAI API, evaluating semantic alignment across 100K+ intent signals against destination content.
  • Cut database query latency 50% and improved job-processing reliability 90% via indexing, caching, and a retryable Kubernetes cron queueing system.
  • Automated deployment (−98% manual effort), shipped an internal Slack bot for on-demand operations, and raised developer velocity 25% with CI/CD quality gates.
Celebal Technologies Feb 2022 — Jun 2023

Associate Jaipur, Rajasthan

  • Built 15+ CI/CD pipelines on Azure DevOps, deploying across sandboxed environments via VMs and Azure Container Registry.
  • Gained hands-on exposure to Docker, Kubernetes, and Terraform through internal project shadowing on infrastructure-as-code and cloud-native deployments.
B.Tech in Information Technology
GPA - 8.28 / 10
2018 — 2022

The full picture — architecture decisions, metrics, and stack, in two pages.

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04Contact

Beyond work — chess (Lichess blitz 1500+).