Python Engineer with 1+ years in Python, FastAPI, and Cloud infrastructure
AI is analyzing your overall score…
Identifying your key strengths…
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.