Headline

AI Engineering Intern (US) | LLM · RAG · Agentic AI | Neuroscience & Web3 Applications | B.Tech CSE (AIML)

About

Passionate and driven third-year student pursuing a Bachelor's degree in Computer Science. Eager to delve into the world of technology and gain hands-on experience in programming, algorithms, and software development. Enthusiastic about learning new concepts and applying them to real-world problems. Seeking opportunities to collaborate with peers and professionals to enhance my skills and contribute to innovative projects. Open to internships and mentorship opportunities to further develop my knowledge and expertise in the field.

Location

Mumbai Metropolitan Region

AI stack

claude code

elevenlabs

hugging face

langchain

langgraph

mcp

Work experience

AI Product Engineer Intern at Quantae, Jul 2026 - Present · 4 mos, Mumbai, Maharashtra, India, Led 0→1 development of Q-Pilot, an AI-powered pharmaceutical field-force training and evaluation platform, contributing across AI architecture, backend engineering, and product development. • Multimodal AI Pipeline: Built audio-based evaluation using Google Gemini, pharmaceutical vocabulary hints, structured outputs, and fallback evaluation. • AI Scoring amp; Compliance: Implemented deterministic scoring, mandatory-message coverage checks, prohibited-claim detection, readiness gates, and human-review routing. • Full-Stack Development: Built four role-based consoles for Sales Managers, Territory Managers, Marketing Managers, and Admins using React, TanStack Start/Router, TypeScript, and Supabase PostgreSQL/Storage. • Testing & Architecture: Developed automated tests for scoring and evaluation logic; designed and evaluated local Whisper/transformer-based and cloud multimodal architectures under compute constraints.

AI Engineering Intern (LLM & Agentic AI) – Proxima360 at The Dotcom Team, Jun 2025 - Aug 2025 · 3 mos, Massachusetts, United States, As an AI/ML Intern at Proxima360, I designed, developed, and integrated intelligent systems to optimize enterprise workflows through data-driven automation and conversational intelligence. My work combined LLM engineering, backend development, and data integration to build scalable AI-powered solutions for real-world business use cases. Key Achievements & Responsibilities: AI Engineering & Conversational Intelligence: Spearheaded the development of a Conversational AI platform for Supply Chain Analytics, enabling users to interact with and analyze inventory data using natural language. Engineered a Natural Language-to-SQL (NL-to-SQL) engine powered by Mistral-7B, employing advanced prompt engineering and agentic workflows to translate human queries into secure PostgreSQL commands. Automated business intelligence generation, including stock-out alerts, overstock warnings, sales insights, and inventory health metrics like Weeks of Supply and Inventory Health Score. Backend Development & Data Integration: Developed a high-performance backend using FastAPI with asynchronous architecture to handle concurrent user requests efficiently. Integrated a PostgreSQL database with dynamic SQL generation and a two-step confirmation workflow to ensure query security and data integrity. Built robust session management to preserve conversational context across interactions for seamless user experience. Innovation & Advanced Features: Designed proactive analytics endpoints for real-time issue detection and KPI aggregation dashboards for management insights. Created AI-driven modules for demand forecasting and inventory optimization, reducing operational inefficiencies and costs. Collaborated with mentors to integrate models into production workflows, contributing to internal automation tools that streamline decision-making. Tech Stack: Python, FastAPI, LangChain, Mistral-7B, OpenAI API, Together.ai, PostgreSQL, Weaviate, psycopg2, Git, Docker, VS Code

Engineer Intern at Proxima360, Jun 2025 - Jul 2025 · 2 mos, Designed and deployed an Agentic AI Chatbot using LangChain + OpenAI APIs, enabling multi-step reasoning and enterprise-grade conversational automation for US retail clients. Engineered end-to-end RAG pipelines integrating enterprise data sources into a Weaviate vector knowledge base, improving retrieval accuracy and LLM response relevance at production scale. Automated inventory management workflows using Python + FastAPI microservices, achieving a verified ~40% reduction in manual processing time for US retail client operations. Built synthetic data generation pipelines (Python + PostgreSQL) for ML model training, improving intelligent data extraction accuracy across multiple business use cases. Developed LLM prompt engineering strategies across diverse business scenarios, improving system accuracy, contextual understanding, and reliability of AI outputs.

Artificial Intelligence Intern at Edunet Foundation, Dec 2024 - Jan 2025 · 2 mos, Mumbai, During this internship, I had the incredible opportunity to delve into the realms of Artificial Intelligence (Al) and Python programming, gaining hands-on experience in solving real-world problems through technology. The program, organized by AICTE in collaboration with Microsoft, SAP, and the Edunet Foundation, focused on transformative learning and practical applications of Al. As part of the internship, I developed a Human Pose Estimation Using Machine Learning, an Al-driven solution designed to streamline Human Pose Estimation while ensuring accuracy and security.

Education

Bachelor of Technology - BTech, CS AIML, Pimpri Chinchwad University, Pune

SYJC, Science, Mithibai College of Arts Chauhan Institute of Science and A.J. College of Commerce and Economics

Public links

github: https://github.com/riteshdhobale