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AI Engineer with less than a year in IoT & Machine Learning, specializing in Python and Embedded Sys
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Looking forward to work with an organization, which utilizes my skills and knowledge efficiently that enable me to work towards organizational goals and reach higher positions.
JNTUH
M.Tech · ECE
August 1, 2023 – June 30, 2025
Nalla Narasimha Reddy Group of institutions
B.Tech · EEE
August 1, 2018 – June 30, 2022
ABV Junior College
Intermediate · MPC
June 1, 2016 – May 31, 2018
Sri Ramakrishna Vidyalayam
10th
June 1, 2014 – May 31, 2015
PANTECH SOLUTIONS
Intern
March 1, 2026 – June 1, 2026
India
IOT BASED AIR POLLUTION MONITORING SYSTEM
June 27, 2026 – Present
Developed an IoT-based air pollution monitoring system that tracks air quality through a web server and triggers alarms when pollutant levels exceed predefined thresholds. Integrated MQ135 and MQ6 sensors to accurately detect and measure harmful gases such as CO2, smoke, alcohol, benzene, NH3, and NOx. Implemented real-time air quality display on both an LCD and a web interface for easy monitoring and management of air pollution levels.
CROP YIELD PREDICTION USING MACHINE LEARNING
June 27, 2026 – Present
Developed a machine learning model for Crop Yield Prediction, leveraging historical agricultural data, Weather conditions, and soil characteristics. Performed data cleaning, feature engineering, and model evaluation using Python libraries such as Pandas, NumPy, Scikit-learn, and Seaborn to improve prediction accuracy. Achieved consistent prediction accuracy and visualized results to support decision-making for crop planning and resource allocation.
Cultural Fit Analysis
The candidate's projects demonstrate an interest in diverse applications of technology, from environmental monitoring (IoT) to agriculture (ML) and automotive (EV). This breadth of interest could be beneficial for an AI Engineer role that often requires adaptability to various domains. The academic nature of projects and a single internship suggest a learning-oriented individual. However, the lack of professional experience makes it challenging to fully assess cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured academic and internship projects. The focus on practical application (IoT, ML models, EV simulation) suggests a results-oriented approach. However, without direct work experience beyond an internship, it's difficult to assess stress handling, team collaboration, or broader work attitude.