Aditya Tiwari

Software Engineer

Chennai, Tamil Nadu, India5 mos experience

Key Highlights

Contributed to Kubernetes with an approved kubelet fix.
Designed a hybrid RAG system for enterprise SaaS.
Built distributed AI training platforms during internship.

Stackforce AI infers this person is a Backend Engineer specializing in SaaS and distributed systems.

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Skills

Core Skills

PythonFastapiRetrieval-augmented Generation (rag)KubernetesGo (golang)

Other Skills

PostgreSQLpgvectorRedisLLM/RAG pipelinesReactTypeScriptDockerGCPVector DatabasesNLP enrichmentGoProw CIGitHub Actionscontainer-runtime internalsdistributed-systems debugging

About

Backend Engineer | Java, Golang, Kubernetes Building scalable distributed systems and contributing to open-source projects that solve real-world problems. Currently: Open-source contributor to Kubernetes SIG Node with approved kubelet fix (PR #133072) addressing production race conditions. Experience: Research intern at IIITDM Kancheepuram building distributed AI training platforms. Created DataVault Enterprise—a quantum-safe, Byzantine fault-tolerant file system. Tech Stack: Java, Golang, Spring Boot, Docker, Kubernetes, AWS, Kafka, PostgreSQL, MongoDB Fresh graduate from IIIT Kancheepuram passionate about distributed systems, cloud security, and enterprise-scale backend development.

Experience

5 mos

Total Experience

5 mos

Average Tenure

5 mos

Current Experience

Precepi

Software Engineer

Dec 2025 – Present · 5 mos · San Francisco, California, United States · Remote

Building the core backend and AI infrastructure for an enterprise SaaS platform in the pharmaceutical/regulatory space.
Designed and built a hybrid retrieval-augmented generation (RAG) system combining full-text search, vector embeddings, and LLM reranking over a large-scale document corpus
Developed async data ingestion and document processing pipelines handling multiple formats (PDF, DOCX, XML) with automatic content extraction and NLP enrichment
Built the production backend with Python/FastAPI, PostgreSQL (pgvector), Redis, and managed deployment on Google Cloud infrastructure
Implemented document versioning, comparison, and collaboration features for enterprise users
Tech: Python, FastAPI, PostgreSQL, pgvector, Redis, LLM/RAG pipelines, React, TypeScript, Docker, GCP

PythonFastAPIPostgreSQLpgvectorRedisLLM/RAG pipelines+4

Cloud native computing foundation (cncf)

Volunteer Go Developer, Kubernetes — SIG Node (Kubelet)

May 2025 – Present · 1 yr · Remote

Authored a kubelet patch (PR #133072) that removes a startup-probe race causing sidecar containers (restartPolicy=Always) to block main-container launch; approved by SIG-Node and merged
Built unit and node e2e tests to cover multiple container scenarios; patch cleared 20 + presubmit jobs spanning integration, conformance, and platform suites.
Steered the full upstream workflow—addressed maintainer feedback, re-ran flaky CI, respected code-freeze rules, and coordinated milestone tagging with the release team.
Stack: Go, Prow CI, GitHub Actions, container-runtime internals, distributed-systems debugging.

GoProw CIGitHub Actionscontainer-runtime internalsdistributed-systems debuggingKubernetes+1