
Python Engineer with 1+ years in Python, FastAPI, and Cloud infrastructure
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Backend Engineer with hands-on experience designing and scaling microservices for AI-powered, multi-tenant production systems. Strong in Python and FastAPI, with a focus on high-throughput APIs, real-time data flows, event-driven pipelines, and performance optimization. Comfortable across the backend stack — MongoDB, Redis, Kafka, and WebSockets — and shipping containerized services on cloud infrastructure with CI/CD.
Vasireddy Venkatadri Institute of Technology
B.Tech · Computer Science and Engineering
August 1, 2021 – June 30, 2025
ReNote AI
Backend Engineer (SDE-1)
June 1, 2025 – Present
Hyderābād, Telangana, India
Backend AI Developer
Backend AI Developer
December 1, 2024 – May 31, 2025
India
Real-Time GPS Tracking System
June 24, 2026 – Present
Built an event-driven streaming pipeline on Apache Kafka to ingest continuous geospatial updates, using partitioning for horizontal scale. Designed producer-consumer flows with offset management for message durability and fault tolerance under concurrent traffic. Exposed FastAPI endpoints with validation, rate limiting, and throttling, plus a WebSocket push layer for live location updates with connection tracking. Tuned consumer groups and async execution to raise throughput, with structured logging and monitoring for latency visibility.
View ProjectMemory-Driven Conversational AI Platform
June 24, 2026 – Present
Built a Retrieval-Augmented Generation (RAG) backend pairing vector embeddings with semantic search for context-aware responses. Generated embeddings with SentenceTransformers and indexed them in ChromaDB for efficient top-K cosine-similarity retrieval. Structured modular services for embedding, indexing, and retrieval, with async inference for scalable request handling. Added a persistent conversational-memory layer for multi-session context, and improved relevance via better chunking and fewer redundant embeddings.
Cultural Fit Analysis
The candidate's projects and experience show a strong alignment with modern backend development practices, including microservices, event-driven systems, and AI integration. Their work on multi-tenant systems and real-time applications indicates an ability to handle complex, scalable challenges. The blend of personal projects and professional experience suggests initiative and a passion for technology, which would generally fit well within an innovative tech culture.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through performance optimization and system design in projects. Their experience with monitoring, logging, and resilient exception handling indicates a focus on operational stability. The project diversity suggests adaptability and a proactive learning attitude.