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AI Engineer with less than a year in LLM applications & Voice AI
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Assessing your cultural and operational fit
AI Engineer experienced in building production AI systems across LLM applications, Voice AI, document intelligence, and real-time monitoring platforms. Skilled in agentic workflows, multimodal AI integration, and scalable FastAPI services with observability and asynchronous processing.
Vasireddy Venkatadri Institute of Technology
Bachelor of Technology · CSE(AI&ML)
August 1, 2021 – June 30, 2025
Narayana Junior College
Senior Secondary · MPC
June 1, 2019 – May 31, 2021
Kendriya Vidyalaya Vijayawada
Secondary
June 1, 2018 – May 31, 2019
Coastal Seven Technologies
AI/ML Engineer Intern
May 1, 2026 – Present
India
Maharsana IT Solutions
Artificial Intelligence Engineer Intern
September 1, 2025 – February 1, 2026
India
AI Decision Engine – Underwriting Risk Assessment & Fraud Detection
January 1, 2025 – January 1, 2026
• Designed and developed an AI powered underwriting and fraud assessment platform that automates insurance risk evaluation through orchestrated LLM workflows, supporting 10 dimensional analysis across parallel 11 node execution graphs. • Automated extraction of structured underwriting data from unstructured insurance documents using Azure Document Intelligence, LLM driven validation, multimodal document understanding, and GPU-accelerated image forensics. • Optimized inference efficiency through TOON based prompt engineering, reducing token consumption by approximately 40%, while implementing asynchronous job processing, audit trails, and OpenTelemetry based observability through Arize Phoenix.
View ProjectAYUSH Virtual Herbal Garden – AI Plant Identification & VR Herbal Platform
January 1, 2024 – January 1, 2025
• Developed an AI driven medicinal plant identification system by training EfficientNetB0 and ResNet50V2 on a 2,000-image, 30 class dataset, achieving 99.6% and 96% classification accuracy respectively. • Built a full stack healthcare focused platform featuring immersive VR exploration, multilingual search, voice assisted navigation, wellness recommendations, and QR enabled access to plant information.
View ProjectGoogle Cloud Certified Associate Cloud Engineer
Google Cloud
June 1, 2026 – Present
Introduction to Operating Systems
NPTEL
June 1, 2026 – Present
AWS Cloud Practitioner
Tech Mahindra Foundations
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects showcase a diverse range of applications for AI, from risk assessment and fraud detection to plant identification and virtual reality. This breadth of interest and application, combined with experience in different internship environments, suggests adaptability and a willingness to explore various problem domains. The focus on cutting-edge AI technologies aligns well with an innovative and forward-thinking team culture.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong problem-solving aptitude and an ability to work on complex, multi-faceted AI systems. The focus on optimizing inference efficiency and implementing observability suggests an operational mindset. The academic nature of most projects and the intern experience level mean that real-world operational experience in a senior capacity is still developing.