Generative AI Engineer with less than a year in LLM & RAG Pipelines
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Computer Science undergraduate (2026) specializing in LLM applications, AI agent systems, and scalable ML infrastructure. Hands on experience building GenAI applications using LangChain, RAG pipelines, transformer models, FastAPI, and real time backend systems. Developed production oriented AI workflows involving conversational AI, document grounded retrieval, inference optimization, and multi step reasoning systems. Passionate about deploying autonomous AI solutions for real world applications in healthcare and enterprise automation.
Amrita Vishwa Vidyapeetham
Bachelor of Technology · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Infosys Springboard
AI Intern
May 1, 2024 – July 1, 2024
India
CareConnect
January 1, 2026 – Present
Built a production AI system using Gemini 2.5 Flash and LangChain; designed retrieval and inference pipelines with modular architecture, real time session handling, and automated workflow execution. Designed a RAG pipeline over medical PDFs using TF-IDF retrieval, document grounded response generation, prompt orchestration, and conversational reasoning across 50+ benchmark queries. Developed a production ready full stack deployment using Streamlit, Supabase, SMTP automation, and real time booking management dashboards while improving retrieval precision through prompt engineering and retrieval evaluation experiments.
View ProjectQmaster
February 1, 2025 – Present
Built a scalable FastAPI + Redis backend supporting 100+ concurrent users with sub-50ms real-time synchronization and operational metric tracking. Developed a React Native mobile app and a React admin dashboard three production codebases delivered end to end. Designed REST APIs with real time state broadcast, concurrent session handling, and admin workflow controls.
View ProjectPlan it Pal
October 1, 2024 – Present
Developed an LLM-powered itinerary recommendation system using Gemini API with personalized recommendation generation based on user constraints and preference analysis. Integrated Maps API for geospatial venue visualization; built retrieval logic for contextual enrichment of AI generated recommendations. Built multi-filter search workflows enabling dynamic recommendation generation based on budget, duration, and rating constraints.
View ProjectArtificial Intelligence Primer Certification
Infosys
June 1, 2026 – Present
AWS Certified Cloud Practitioner
AWS
June 1, 2026 – Present
Introduction to Machine Learning
IIT Madras
June 1, 2026 – Present
Bridging the Diagnostic Gap: Classification of MRI-Based Brain Tumors Using a CNN and Transformer-Based Hybrid Deep Learning Method
IEEE
May 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects and internship demonstrate a strong interest and practical application in AI, particularly Generative AI and NLP. The diversity of projects (healthcare, real-time systems, recommendation engines) indicates adaptability and a broad interest in applying AI solutions to various domains. The publication and certifications further highlight a commitment to the field and continuous learning, which aligns well with an innovative and growth-oriented culture. However, the candidate is still an undergraduate, which means their professional experience is limited to an internship, potentially impacting their immediate fit for a senior role requiring extensive industry experience.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to problem-solving and a focus on delivering end-to-end solutions. Collaboration on deployment-oriented ML workflows and contributions to code reviews suggest good team integration potential. The academic background and internship experience, despite being early career, show a strong drive for practical application and continuous learning.