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AI Engineer with 2+ years in Generative AI and Agentic AI Systems
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Software Engineer specializing in Artificial Intelligence and Machine Learning, with deep expertise in Generative AI and Agentic AI systems. Proven experience in designing and developing intelligent AI agents, conversational interfaces, and scalable backend services. Adept at building production-grade AI solutions, optimizing system performance, and delivering high-impact outcomes in dynamic environments. Strong collaborator with a track record of driving end-to-end execution from concept to deployment.
PRMITR, Badnera
Bachelor of Engineering (B.E.)
August 1, 2020 – June 30, 2023
Government College of Polytechnic
Diploma in Engineering
August 1, 2017 – June 30, 2020
Zyrix AI
Associate Software Engineer (AI/ML)
August 1, 2024 – Present
Hyderābād, Telangana, India
Innomatics Research Labs
Data Science Intern
January 1, 2024 – April 1, 2024
Hyderābād, Telangana, India
Agent2Agent Testing System
April 1, 2026 – June 30, 2026
• Architected and developed an Agent-to-Agent (A2A) testing platform that autonomously evaluates AI agents against their declared capabilities using multi-agent orchestration, LLM reasoning, and agent cards, providing end-to-end quality assurance for enterprise AI systems. • Designed a 9-agent evaluation pipeline comprising agent analysis, test planning, multi-turn execution, persona-based testing, security red teaming, compliance validation, regression analysis, and executive reporting across 20+ testing dimensions including capability adherence, tool usage, safety, robustness, and reliability.
Test Auto Pilot (Agentic AI Testing System)
August 1, 2025 – June 30, 2026
• Architected and delivered a scalable Agentic AI multi-agent platform for end-to-end autonomous testing of web and enterprise applications using URLs, BRD documents, Figma designs, Jira user stories, and natural language prompts. Enabled testing of public, authenticated web applications and AI-driven automation of mainframe systems, leveraging advanced LLMs and agent orchestration to automate the complete QA lifecycle. • Designed specialized AI agents for application understanding, requirement analysis, feature discovery, business flow mapping, automated manual and BDD test generation, and Playwright-based execution. Enhanced the platform with visual regression testing, accessibility testing, intelligent regression planning, and requirement compliance analysis. • Delivered a ~80% reduction in manual testing effort and ~85% reduction in human intervention, fully automating the test design, validation, and execution lifecycle significantly enhancing QA efficiency, scalability, and release velocity.
Data Analytics AI Agents
November 1, 2024 – June 30, 2026
• Built an NLP-powered data analysis agent that answers complex questions in natural language using both relational database data and requirements documents enabling deep data insights into data. • Implemented anomaly detection and automated reasoning over large-scale enterprise data. • Developed Apache Spark based row-wise data comparison system optimized for large datasets using distributed Spark clusters. • Integrated with multiple databases including MySQL, PostgreSQL, Snowflake, Databricks, and Azure SQL to ensure cross-platform compatibility.
AI-Powered Face Recognition & PPE/Accident Detection System
September 1, 2024 – November 1, 2024
• Developed a face recognition system capable of training on large datasets to detect and identify individuals by name in real-time. • Built a PPE detection module to monitor compliance with safety gear (helmets, vests, gloves, etc.) in industrial environments. • Implemented accident detection features (e.g., fire detection) using object detection models; integrated real-time alerting via WhatsApp to notify administrators of safety breaches. • Enhanced workplace safety and monitoring using computer vision, deep learning and AI techniques.
Machine Learnings with Python
IBM and Innomatics Research Labs Hyd
June 1, 2026 – Present
Advance Data Analysis Internship Program
Innomatics Research Labs Hyd
June 1, 2026 – Present
Data Science Professional certificate
Innomatics Research Labs Hyd
June 1, 2026 – Present
Advance ML and Generative AI Internship Program
Innomatics Research Labs Hyd
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from AI-powered testing systems to data analytics agents and computer vision applications, demonstrates a broad interest and adaptability in AI/ML domains. The target role of 'AI Engineer' aligns well with the candidate's professional experience and project focus on Generative AI, Agentic AI, and intelligent automation. The listed interests like 'Tech Enthusiast' and 'Lifelong Learner' suggest a proactive and growth-oriented mindset, which generally contributes positively to cultural fit in innovative tech environments.
Soft Skills & Operational Fit
The resume highlights 'Effective verbal and written communication', 'Presentation skills', 'Problem solving', and 'Constant self-improvement'. These indicate a candidate who is likely to be a proactive learner and a good communicator, which are valuable for operational fit in a dynamic AI engineering role. However, without direct assessment, these remain self-reported.