BENJARAM N.
Junior AI/ML Developer
Open to offersNew to PlatformAbout
Navadeep R. is a Computer Science undergraduate from Malla Reddy University, specializing in Artificial Intelligence and Machine Learning. With a remarkable CGPA of 9.02, Navadeep has developed a keen expertise in AI-driven applications, utilizing Large Language Models and Retrieval-Augmented Generation techniques. His proficiency in Python and backend technologies such as FastAPI and Flask enables him to design robust and scalable systems. Navadeep has a diverse skill set ranging from Docker and Kubernetes for cloud-native solutions to advanced database management using MySQL, MongoDB, and Redis. He has led projects like a distributed file storage system and an AI assistive platform, demonstrating his competence in microservices and RESTful architecture. Recognized for his technical acumen, he was a runner-up at the TechXcelerate’25 Hackathon and has solved over 300 algorithmic problems on platforms like LeetCode, showcasing his problem-solving prowess.
Experience
Intern
nullContributed to the development of an AI Agent for answering domain-specific questions using Retrieval-Augmented Generation (RAG). Managed document ingestion, embedding generation, and semantic search processes while generating context-aware responses. Created workflows with LangChain, integrating tools, memory, retrieval pipelines, and LLM reasoning chains. Developed REST APIs with FastAPI for scalable deployment and inference, utilizing ChromaDB for efficient document retrieval.Developer
nullEngineered a scalable distributed file storage architecture for upload, retrieval, metadata management, and chunk-based storage using Java and Spring Boot. Implemented RESTful APIs and enhanced backend performance via Redis caching. Deployed Docker containers within Linux workflows to simulate cloud-scale environments, while developing authentication and monitoring modules for improved reliability.Developer
nullConstructed scalable backend services for automated test execution and infrastructure monitoring with Python and FastAPI. Developed REST APIs for workflow management and report generation while integrating modules for failure detection and root-cause analysis to enhance debugging workflows.Developer
nullCreated an AI-powered assistive platform combining Computer Vision and NLP to generate contextual descriptions. Developed real-time object detection pipelines utilizing YOLO and OpenCV, and implemented intelligent text generation workflows through prompt engineering. Designed and built REST APIs using Flask for scalable AI inference and integrated Text-to-Speech capabilities for accessibility.
Skills & Expertise
Education
- B.Tech in Computer Science Engineering (AI & ML)Malla Reddy University · 2022 — 2026
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