AI Engineer with less than a year in Scalable Backend Development & Generative AI
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Assessing your cultural and operational fit
AI/ML Engineer experienced in building AI-powered applications using LLMS, RAG, AI Agents, NLP, and Computer Vision. Skilled in FastAPI, LangChain, LangGraph, HuggingFace, AWS, and scalable backend development with strong foundations in machine learning and software engineering.
VIT Bhopal University
B.Tech · Computer Science Engineering (Artificial Intelligence & Machine Learning)
N/A – June 30, 2027
Bluestock Fintech
Software Development Engineer Intern
March 1, 2026 – April 1, 2026
India
SmartBridge
Machine Learning Intern
May 1, 2025 – June 1, 2025
India
MediLens AI Knowledge Engine
June 24, 2026 – Present
Engineered a Retrieval-Augmented Generation (RAG) pipeline utilizing FAISS vector search, semantic chunking, and HuggingFace embeddings across 1,000+ medical knowledge sources. Orchestrated LLaMA 3.3 and Gemini Vision models for multimodal medical document understanding and question answering over PDF and image-based records. Optimized retrieval accuracy through vector indexing and contextual relevance ranking, improving response precision by 35% and reducing retrieval latency by 25%.
View ProjectVoiceVision Healthcare AI
June 24, 2026 – Present
Developed a multimodal healthcare intelligence system integrating speech recognition, computer vision, and LLM-powered reasoning. Unified voice, image, and text processing pipelines enabling natural healthcare interactions across 500+ multimodal test interactions. Designed a modular architecture supporting scalable deployment, reducing feature integration effort by 40% and improving maintainability.
Adaptive AI Agent Platform
June 24, 2026 – Present
Architected a multi-agent AI platform using LangGraph orchestration, conversational memory, and dynamic routing across Gemini and OpenAI models, supporting 1,000+ user interactions. Integrated web search augmentation and multi-step reasoning workflows, improving contextual response relevance and reducing incomplete responses by 30%. Engineered FastAPI services and deployed Streamlit interfaces achieving sub-2-second response latency and 99% uptime during testing.
View ProjectET-AI Hackathon 2026 Semi-Finalist
The Economic Times Digital
May 1, 2026 – Present
Introduction to Internet of Things
NPTEL
April 1, 2026 – Present
Machine Learning Specialization
DeepLearning.AI
July 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, covering healthcare AI, knowledge engines, and agent platforms, indicates a broad interest and adaptability. Their involvement in extracurriculars like Toastmasters suggests a willingness to engage and lead, which aligns with collaborative team environments. The focus on AI/ML aligns well with an AI Engineer role, demonstrating a clear career path and passion for the domain.
Soft Skills & Operational Fit
The candidate demonstrates initiative through personal projects and leadership in Toastmasters International, suggesting good communication and teamwork potential. Their involvement in hackathons indicates a proactive and problem-solving attitude. However, the short duration of internships and lack of detailed operational contributions limit a full assessment of their operational fit in a senior role.