AI Engineer with less than a year in FastAPI, LLMs & RAG
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Assessing your cultural and operational fit
AI Engineer and Backend Developer with hands-on experience building scalable AI systems using FastAPI, LLMS, RAG pipelines, and agentic workflows. Skilled in developing REST APIs, real-time AI applications, and cloud-deployed backend systems. Passionate about building production-ready AI products with measurable impact.
Sasi Institute of Technology and Engineering
B.Tech · AI & ML
August 1, 2021 – June 30, 2025
Sri Sai Aditya Junior College
Intermediate (MPC)
June 1, 2019 – May 31, 2021
Z.P High School
SSC
June 1, 2018 – May 31, 2019
Edusphere
Python Backend & AI Intern
January 1, 2026 – March 1, 2026
India
AIMER Society - APSCHE
AI Intern
May 1, 2024 – July 1, 2024
India
AWS Academy - EduSkills
Cloud Intern
January 1, 2024 – March 1, 2024
India
SQL AI Assistant
January 1, 2026 – Present
• Developed NLP-to-SQL backend system, reducing manual query effort by 80% • Enabled secure real-time database interaction with efficient CRUD operations
View ProjectAI Chat & WhatsApp Assistant
January 1, 2026 – Present
• Designed RAG-powered conversational AI backend with context-aware memory • Integrated WhatsApp automation APIs for real-time communication workflows
View ProjectAgentic AI Resume Analyzer
January 1, 2026 – Present
• Built agentic AI architecture with multi-agent workflows for automated resume parsing and job matching • Improved API pipeline performance by 60% and reduced manual screening effort by 70%
View ProjectWeather Forecast Backend App
January 1, 2026 – Present
• Built backend APIs for real-time weather data and forecasting • Deployed cloud-based full-stack application with responsive frontend integration
View ProjectMicrosoft SQL Server
Udemy
January 1, 2026 – Present
AI for Everyone
Udemy
January 1, 2026 – Present
Introduction to Data Science
Cisco
January 1, 2024 – Present
Data Mining
NPTEL
January 1, 2024 – Present
Cloud Computing
NPTEL
January 1, 2023 – Present
Python Programming
Coursera
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's project diversity, including AI assistants, resume analyzers, and weather forecast apps, indicates a broad interest in applying AI across different domains. The academic projects and internships align directly with an AI Engineer role, showcasing a clear career path and dedication to the field. The use of modern AI frameworks (Langchain, Pinecone, AutoGen) and backend technologies (FastAPI) suggests an openness to new tools and best practices. The candidate's profile indicates a strong alignment with a technically driven, innovative environment.
Soft Skills & Operational Fit
The candidate demonstrates a results-oriented approach, as evidenced by quantifiable achievements in project and internship descriptions (e.g., 'reducing manual query effort by 80%', 'improving backend response time by 40%'). The focus on building production-ready AI products suggests a practical and impact-driven mindset. However, without direct assessment data, specific soft skills like teamwork, problem-solving under pressure, or adaptability cannot be fully evaluated.