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I am a results-driven Python Backend Developer and AI/LLM Engineer with 3 internships delivering scalable REST APIs, enterprise-grade LLM integrations, and production RAG pipelines. I reduced system latency by 40% and achieved 85%+ AI retrieval accuracy using LangChain, Groq, and Qdrant. I’ve led API design, LLM integration, and containerized AWS deployments across the full development lifecycle, building production-ready solutions such as AI-powered project management and proactive automation assistants. I’m passionate about solving complex problems with clean code, observability, and scalable architectures.…I am a results-driven Python Backend Developer and AI/LLM Engineer with 3 internships delivering scalable REST APIs, enterprise-grade LLM integrations, and production RAG pipelines. I reduced system latency by 40% and achieved 85%+ AI retrieval accuracy using LangChain, Groq, and Qdrant. I’ve led API design, LLM integration, and containerized AWS deployments across the full development lifecycle, building production-ready solutions such as AI-powered project management and proactive automation assistants. I’m passionate about solving complex problems with clean code, observability, and scalable architectures.

Koniganti Rohith Reddy

Full Stack Developer, Back-End Developer, Web Developer, +2

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I am a results-driven Python Backend Developer and AI/LLM Engineer with 3 internships delivering scalable REST APIs, enterprise-grade LLM integrations, and production RAG pipelines. I reduced system latency by 40% and achieved 85%+ AI retrieval accuracy using LangChain, Groq, and Qdrant. I’ve led API design, LLM integration, and containerized AWS deployments across the full development lifecycle, building production-ready solutions such as AI-powered project management and proactive automation assistants. I’m passionate about solving complex problems with clean code, observability, and scalable architectures.…I am a results-driven Python Backend Developer and AI/LLM Engineer with 3 internships delivering scalable REST APIs, enterprise-grade LLM integrations, and production RAG pipelines. I reduced system latency by 40% and achieved 85%+ AI retrieval accuracy using LangChain, Groq, and Qdrant. I’ve led API design, LLM integration, and containerized AWS deployments across the full development lifecycle, building production-ready solutions such as AI-powered project management and proactive automation assistants. I’m passionate about solving complex problems with clean code, observability, and scalable architectures.

Available to hire

I am a results-driven Python Backend Developer and AI/LLM Engineer with 3 internships delivering scalable REST APIs, enterprise-grade LLM integrations, and production RAG pipelines. I reduced system latency by 40% and achieved 85%+ AI retrieval accuracy using LangChain, Groq, and Qdrant.

I’ve led API design, LLM integration, and containerized AWS deployments across the full development lifecycle, building production-ready solutions such as AI-powered project management and proactive automation assistants. I’m passionate about solving complex problems with clean code, observability, and scalable architectures.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

Backend & AI Engineer Intern at Proficon Labs Pvt Ltd

July 1, 2025 - December 1, 2025

Designed and built an AI-powered project management platform (FastAPI + Django + MongoDB) enabling managers to track employee schedules, monitor pending tasks, and oversee team workloads. Architected a production RAG pipeline (LangChain + Groq + Qdrant) powering a natural-language AI assistant for manager queries like "who has capacity this week" and "list all overdue dev tasks." Implemented Qdrant semantic search achieving ~30% retrieval latency reduction; instrumented services with OpenTelemetry for distributed tracing and observability.

Software Developer Intern at Infosys Springboard

October 1, 2024 - December 1, 2024

Developed 10+ modular REST API endpoints in Python with Django, improving data processing throughput by ~25%; reduced average response latency from 320ms to 210ms via query optimization.

Full Stack Developer Intern at Genesis IT Solutions

June 1, 2024 - July 1, 2024

Built Flask REST APIs with optimized SQL, reducing database latency by 40% across 3 core modules. Implemented enterprise JWT authentication with RBAC — 4 permission levels (Admin, Manager, Employee, Viewer) — securing endpoints for 200+ users. Delivered responsive React.js frontends reducing page load time by ~20%.