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Software Engineer with 1+ years in Cloud & AI Solutions
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Junior Engineer with 1+ year of progressive experience at GradientM, growing from Azure Trainee to Junior Engineer. Hands-on experience building cloud infrastructure and AI-powered solutions on Microsoft Azure, including voice bots, enterprise automation platforms, and AI recruitment tools. Certified in AZ-900 and AZ-104, with additional Anthropic certifications in Claude API, MCP, and Agent Skills. Strong analytical and problem-solving skills with a proactive approach to learning and delivering business-focused technology solutions.
Global Academy of Technology
Bachelor of Engineering · Computer Science
August 1, 2021 – June 30, 2024
Dayananda Sagar Polytechnic
Diploma · Computer Science
August 1, 2018 – June 30, 2021
The New Cambridge High School
High School · SSLC
June 1, 2018 – May 31, 2018
GradientM IT Consulting & Services
Junior Engineer
January 1, 2026 – Present
Bengaluru, Karnataka, India
GradientM IT Consulting & Services
Azure Trainee
January 1, 2025 – January 1, 2026
Bengaluru, Karnataka, India
Agent2Hire - AI Recruitment Platform (Voice Interview Module)
January 1, 2026 – Present
Contributed to the voice interview engine of Agent2Hire, an AI-powered recruitment platform used internally and deployed to enterprise clients. • Worked on the Voice Interview Agent - an AI-driven system that autonomously conducts candidate interviews based on a given Job Description, using Azure Speech Services (STT/TTS) for real-time voice interaction. • Involved in end-to-end testing of the voice interview pipeline: validating JD-to-question generation, STT/TTS accuracy, scoring logic, and both live and async link-based interview formats. • Contributed to QA and functional testing across multiple modules, ensuring reliability before client deployment.
Digital Onboarding Voice Bot
November 1, 2025 – December 1, 2025
AI-powered voice bot automating customer onboarding via Azure Cognitive Services, reducing manual onboarding effort and improving customer response speed. • Implemented voice-driven onboarding flows using Azure Speech Services for natural language processing. • Designed automated workflows to handle customer data capture and onboarding task routing.
View ProjectPulse Inbox
September 1, 2025 – October 1, 2025
Centralized communication and tracking platform on Azure App Services for managing customer and internal communication workflows. • Built and deployed the platform on Azure App Services with Flask backend and JavaScript frontend. • Integrated SQL-based tracking for response management across teams, improving organisational efficiency.
Prospector Tool
July 1, 2025 – August 1, 2025
Enterprise lead generation application with automated workflows and Azure cloud data management. • Developed automated lead tracking and data management pipelines using Azure Storage and Python. • Integrated GitHub-based deployment workflows for reliable, repeatable delivery.
Microsoft Certified: Azure Fundamentals (AZ-900)
Microsoft
June 1, 2026 – Present
Microsoft Certified: Azure Administrator Associate (AZ-104)
Microsoft
June 1, 2026 – Present
Introduction to Cloud: Azure, AWS & GCP
Unknown
June 1, 2026 – Present
Building with Claude API - Anthropic
Anthropic
June 1, 2026 – Present
Model Context Protocol (MCP) - Anthropic
Anthropic
June 1, 2026 – Present
Agent Skills - Anthropic
Anthropic
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's rapid transition from a sales role to cloud engineering, purely on technical merit, highlights strong initiative and a growth mindset. Their involvement in diverse projects like AI recruitment platforms, voice bots, and enterprise communication tools shows versatility. The certifications in Azure and Anthropic indicate a commitment to continuous learning and staying current with industry trends, which aligns well with a dynamic, innovation-focused culture.
Soft Skills & Operational Fit
The candidate demonstrates a proactive learning attitude and ability to transition into technical roles quickly, suggesting strong adaptability and drive. Their involvement in end-to-end testing and collaboration on voice agent development indicates a team-oriented approach and attention to detail. The experience with client-facing projects implies an understanding of business requirements and delivering reliable solutions.