02

experience

A detailed view of my professional experience, the companies I have worked with, the systems I have built, and the technologies I use in real projects.

Jan 2025 - Present Remote · Full Time

Software Development Engineer - 1

Neura Dynamics AI

Building scalable backend services, AI/LLM applications, and cloud infrastructure for production systems — from REST APIs and real-time features to agentic workflows and ML pipelines.

Key Work

  • Built scalable backend services and REST APIs using Python, FastAPI, PostgreSQL, Redis, Celery, and WebSockets — handling complex business logic, authentication, and real-time features, with optimized database design, indexing, and caching for performance.
  • Developed AI/LLM-powered and agentic applications using LangChain, LangGraph, RAG, embeddings, and multi-LLM providers — including tool-calling agents with prompt engineering, verification, evaluation, and monitoring for automated business workflows.
  • Built AI and ML pipelines for real-time analytics, anomaly detection, forecasting, and intelligent insights using telemetry data, Kafka, XGBoost, and Isolation Forest.
  • Designed third-party API integrations for scheduling, virtual classrooms, local/international payments, and notifications, using async workflows.
  • Ensured reliability through testing and observability — Pytest for unit/integration coverage, and Logfire, Sentry, LangSmith, and Better Stack for monitoring, error tracking, and LLM evaluation.
  • Managed cloud infrastructure and delivery — Docker, Kubernetes/AKS, Azure, Nginx, and CI/CD pipelines across dev/staging/prod, while collaborating with cross-functional teams and clients in Agile sprints.

Stack

PythonFastAPIPostgreSQLSQLAlchemyRedisCeleryWebSocketsLLMsLangChainLangGraphRAGPytestDockerKubernetesAzureCI/CD
Aug 2024 - Jan 2025 Remote / India

Backend Engineer

First Logic Meta Lab

Built backend services with FastAPI, REST APIs, and GraphQL using Ariadne, with Docker for containerized deployment.

Key Work

  • Developed REST and GraphQL APIs with FastAPI and Ariadne.
  • Implemented backend services and API layers for production use.
  • Used Docker to containerize and run services consistently across environments.

Stack

FastAPIGraphQLAriadneREST APIDocker