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AI Engineer with 2+ years in Agentic AI Systems & Machine Learning.
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Assessing your cultural and operational fit
Results-driven AI Engineer specializing in Agentic AI systems and Generative AI, with hands-on experience building LLM-powered autonomous agents and intelligent automation solutions. Skilled in designing real-time AI systems integrating structured tool execution, API orchestration, and persistent memory. Strong foundation in Machine Learning and deep learning, delivering scalable, production-ready AI applications that enhance operational efficiency and user experience.
SREE VENKATESWARA COLLEGE OF ENGINEERING
BTech · Computer Science and Engineering
August 1, 2020 – June 30, 2024
SREE CHAITANYA JUNIOR COLLEGE
Intermediate
June 1, 2018 – May 31, 2020
RAVINDRA BHARATHI EM HIGH SCHOOL
High School
June 1, 2017 – May 31, 2018
Nitco.Inc
AI Engineer
November 1, 2025 – Present
Hyderābād, Telangana, India
AiSPRY
Associate Data Scientist
June 1, 2024 – October 1, 2025
Hyderābād, Telangana, India
BrainOVision
Machine Learning - Intern
January 1, 2024 – April 1, 2024
Hyderābād, Telangana, India
STUNP Pvt Ltd
Python Full Stack Developer - Intern
May 1, 2023 – October 1, 2023
India
OneSpa World – Real-Time Multi-Agent Booking System
November 1, 2023 – June 1, 2026
• Developed a real-time multi-agent booking system where a central receptionist agent dynamically routes tasks to specialized service agents for autonomous scheduling and workflow execution. • Implemented a constraint-aware scheduling engine handling operating hours, concurrency limits, slot optimization, and intelligent rescheduling without conflicts. • Integrated local state management (SQLite) with cloud REST APIs to enable booking lifecycle control, staff verification, persistent customer memory, and business analytics insights.
RaiseTech AI - Road Transport Authority
November 1, 2023 – June 1, 2026
• Developed an AI-driven road defect detection system using deep learning models (YOLOv8/YOLOv11) to identify potholes and cracks from real-time road images, enabling data-driven infrastructure maintenance. • Implemented automated defect analysis and reporting, including severity classification, area and depth estimation, and generation of structured reports to support decision-making for transport authorities. • Integrated geospatial mapping and database modules to visualize detected road defects on interactive maps and store analysis results, enhancing traceability and maintenance planning for authorities.
EDUBOT – AI Assistant (GenAI + RAG)
November 1, 2023 – June 1, 2026
• Designed and implemented an AI-powered educational chatbot using LangChain, Gemini LLM, HuggingFace embeddings, and FAISS for retrieval-augmented generation (RAG). • Built strict Q-type controlled prompting with memory-aware context handling, fallback logic, and conversational continuity to enhance accuracy and student engagement. • Developed an evaluation framework (BLEU, ROUGE, Semantic Similarity) to assess response quality and logged interactions for continuous performance monitoring and improvement.
Empowering Elderly Care with multi agent AI system
November 1, 2023 – June 1, 2026
• Assists elderly individuals by providing real-time monitoring, reminders, and safety alerts, while promoting health management and social engagement. • It Will provide reminders to manage daily routines, such as medication schedules, appointments, and daily activities. • Used Pandas, SQLite, and Scikit-learn to process elderly care data, store it efficiently, and detect anomalies, while Datetime handled time-based reminders, and NumPy supported numerical operations.
AI Engineer Agentic Track: The Complete Agent and MCP
Unknown
June 1, 2026 – Present
Professional Data Science
360DigiTMG
June 1, 2026 – Present
Master Data Management and Data Engineering
TCS
June 1, 2026 – Present
AWS
Infosys
June 1, 2026 – Present
Data Visualization using PowerBI
Great Learning
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a diverse range of applications for AI, from road defect detection to educational chatbots and elderly care systems, indicating adaptability and a broad interest in applying AI to various domains. The experience in both AI engineering and data science roles, along with full-stack development, suggests a versatile skill set. The certifications further highlight a proactive approach to learning and professional development, which is a positive indicator for cultural fit in a dynamic AI environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted AI systems, suggesting strong problem-solving and system thinking skills. The focus on real-time systems and autonomous agents aligns well with operational demands for scalable and adaptive AI solutions. The detailed project descriptions also imply good communication of technical concepts.