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AI Engineer with less than a year in Computer Vision & Edge AI
Bachelor of Technology (B. Tech) graduate in Data Science and AI from ICFAITech Hyderabad. Top 4 at Infosys Global Hackathon 2025 (Hyderabad Region). Research intern at NIT Trichy on real-time vehicle detection. Currently at SNR eDatas building an end-to-end AI surveillance system - live CCTV monitoring, deep learning-based threat detection, and automated alerting - with model compression (quantization, pruning, KD) for Raspberry Pi edge deployment. Comfortable across the full ML lifecycle and across embedded systems, FastAPI backends, and GCP.
Sri Chaitanya Junior College, Madinaguda
Board of Intermediate Education
June 1, 2020 – May 31, 2022
ICFAITech, IFHE Hyderabad, India
Bachelor of Technology (B. Tech) · Data Science and Artificial Intelligence
N/A – June 30, 2026
St. Anthony's High School, Sangareddy
Board of Secondary Education
N/A – May 31, 2020
SNR eDatas Pvt. Ltd.
AI Intern
January 1, 2026 – Present
India
NIT Trichy, India
Computer Vision Research Intern
June 1, 2024 – July 31, 2024
India
Air Pollution Detector
June 29, 2026 – Present
ESP8266-based embedded gas monitoring system with threshold-triggered live alerts pushed to the cloud.
Vehicle Detection
June 29, 2026 – Present
Fine-tuned a custom YOLOv8 model on a multi-class vehicle dataset for real-time detection across varied traffic conditions. Built with Python and OpenCV; deployed as part of NIT Trichy research internship.
EarlyGuard+
June 29, 2026 – November 1, 2023
Built an IoT disaster early warning system using ESP32 sensor nodes and cloud-based alerting. Integrated ultrasonic, soil moisture, and environmental sensors for multi-parameter anomaly detection with sub-second cloud push alerts. Won 1st place at IoT Ignite 2023, ICFAI University Tech Fest, Hyderabad.
Smart Bicycle
June 29, 2026 – Present
Sensor-enabled e-bike with on-board data acquisition and real-time telemetry sync to IoT platform.
AWS Cloud Practitioner Essentials
Amazon Web Services
November 1, 2025 – Present
Generative AI Certification
Microsoft
January 1, 2024 – Present
Data Visualization Certification
NASSCOM FutureSkills Prime
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a strong interest in applied AI, particularly in areas like surveillance, environmental monitoring, and IoT. Their participation in hackathons and research internships indicates a collaborative spirit and a drive for continuous learning and problem-solving. The breadth of projects, from IoT to computer vision and LLM integration, suggests adaptability and a willingness to explore diverse technical challenges, aligning well with a dynamic AI engineering environment.
Soft Skills & Operational Fit
The candidate's project descriptions and experience highlight a strong ability to work independently (e.g., 'Managed full pipeline independently' at NIT Trichy) and deliver functional prototypes. Their involvement in hackathons and research indicates a proactive, results-oriented approach and a capacity for innovation. The focus on edge AI and optimized models suggests an understanding of practical constraints and efficient resource utilization, which is valuable for operational deployment.