AI Engineer with 1+ years in Cloud & Data Science
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AI/ML Engineer with 1.8 years of experience, specializing in developing and deploying production-ready data extraction pipelines, implementing RBAC and RAG systems using AWS Bedrock, and leading automation use cases like post-call analytics and customer helpdesk portals. Proficient in Python, Java, AWS, Docker, Kubernetes, and various AI/GenAI techniques including Machine Learning, Deep Learning, NLP, LLM Integration, and MLOps. Skilled in full-stack development, leveraging FastAPI, Django, ReactJS, and NodeJS for efficient backend management and seamless user experiences.
Dr. Vishwanath Karad MIT World Peace University (MIT-WPU)
Bachelor of Technology · Electronics & Communication Engineering
August 1, 2020 – June 30, 2024
Dr. Virendra Swarup Education Center (ISC)
High School & Intermediate
June 1, 2016 – May 31, 2019
Shellkode Pvt. Ltd.
AI/ML Engineer
June 1, 2025 – Present
Bengaluru, Karnataka, India
Global Logic Technologies Ltd.
Software Engineer
September 1, 2024 – May 1, 2025
Gurgaon, Haryana, India
Smart Event AI Saathi
November 1, 2025 – Present
Developed a real-time, voice-first event planning plateform using FastAPI, Agora Conversational AI Engine, and Groq Llama 3.1 to enable natural, low-latency human-AI conversations for event queries and planning. Implemented intelligent function-calling workflows for smart venue/vendor recommendations, city-specific budget estimation, and automated invitation sending to invitee lists with customizable HTML templates. Designed a scalable AI-driven planning ecosystem integrating ARES ASR, ElevenLabs TTS, secure RTC token authentication, and a multi-layer conversation auto-save mechanism with webhooks and background monitoring.
View ProjectMulti-Orchestrator Agent + RAG
March 1, 2025 – Present
Architected an advanced multi-agent AI system for BFSI clients, enabling a master agent to intelligently route queries to specialized sub-agents through real-time intent analysis and contextual reasoning. Designed a scalable Knowledge Base using AWS OpenSearch Serverless as a vector store and integrated it as a tool for AWS Bedrock via AWS Strands Agents for high-performance retrieval-augmented workflows. Developed secure document-processing pipelines by generating AWS S3 presigned URLs for chatbot retrieval flows and implementing an AWS Lambda function for OCR-based ID card validation. Automated the end-to-end ticketing lifecycle using Zoho webhooks, enabling seamless ticket creation, escalation, and resolving the manual intervention by 80%.
Intelligent Document Processor
March 1, 2025 – Present
This project integrates various technologies and models to create an efficient and accurate document processing system. The solution automates data extraction and classification from various document types, streamlines workflows, and ensures data integrity. It leverages advanced AI models for document understanding and is designed to handle high volumes of data while maintaining accuracy.
AWS Certified AI Practitioner
AWS
April 1, 2024 – April 1, 2026
API Gateway for Serverless Application
AWS
November 1, 2023 – November 1, 2025
Generative AI Practitioner
AWS
November 1, 2023 – November 1, 2025
Scaling Serverless Architecture
AWS
November 1, 2023 – November 1, 2025
Big Data Computing
NPTEL
August 1, 2023 – October 1, 2023
Introduction to Front End & Back End Development
Coursera
July 1, 2023 – August 1, 2023
Gen AI Productivity Skills
Microsoft & LinkedIn
March 1, 2023 – March 1, 2025
Azure Fundamentals AZ-900
Microsoft
December 1, 2022 – December 1, 2024
Artificial Intelligence
Infosys Springboard
January 1, 2022 – January 1, 2025
Natural Language Processing
Infosys Springboard
January 1, 2022 – January 1, 2024
Cultural Fit Analysis
The candidate's diverse project portfolio, including 'Smart Event AI Saathi' and 'Multi-Orchestrator Agent + RAG', showcases a broad interest in applying AI to various domains. Their experience with both established companies (Shellkode, Global Logic) and personal projects, combined with numerous certifications, indicates a strong drive for continuous learning and adaptability. The alignment with the 'AI Engineer' target role is excellent, given their specialized skills in AI/ML, GenAI, and cloud platforms. Their involvement in hackathons and academic achievements further demonstrate a proactive and competitive spirit, which aligns well with a dynamic, innovation-focused culture.
Soft Skills & Operational Fit
The candidate's project descriptions highlight a strong ability to design and implement complex systems, indicating good problem-solving and architectural thinking. The focus on reducing manual effort and optimizing processes suggests an operational mindset. Participation in hackathons and team-based projects implies collaboration skills. The detailed descriptions of technical implementations demonstrate clear communication of complex ideas.