Software Engineer with 4+ years in Machine Learning, IoT & Web Development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Computer Science graduate with hands-on experience in machine learning, IoT, and web development. Skilled in Python, Java, and modern frameworks, with a proven ability to deliver real-world solutions such as IoT-based aquaculture monitoring and predictive ML models. Seeking to apply technical expertise to innovative software projects.
Sagi Ramakrishnam Raju Engineering College (SRKREC)
B.Tech · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Sasi Junior College
Board of Intermediate Education · Andhra Pradesh
June 1, 2020 – May 31, 2022
Viveka english medium high school
Board of secondary education · Andhra Pradesh
June 1, 2019 – May 31, 2020
Blackbucks
AI-ML-DS Intern
January 1, 2022 – June 1, 2026
India
Ticket Booking Website
June 1, 2026 – Present
Developed a responsive booking system using HTML, CSS, JavaScript, and SQL. Enabled seat selection, dynamic pricing, and booking confirmation via an intuitive UI.
IPL Winner Prediction Using Machine Learning
June 1, 2026 – Present
Built ML models in Python to predict IPL match outcomes based on historical performance data.
Smart IoT-Based Aerator Monitoring & Alert System for Aqua Farming
June 1, 2026 – Present
Designed and implemented an IoT device to monitor aerator power supply and motion in aquaculture ponds. Integrated GSM-based automated call alerts for immediate farmer notification during failures. Built for rural deployment with low maintenance requirements.
AWS Fundamentals of AWS
AWS
June 1, 2026 – Present
Cisco Networking - Programming Essentials in Python
Cisco
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a breadth of interest across different technical domains (web, ML, IoT) which suggests adaptability and a willingness to explore various technologies. The academic projects, particularly the IoT system for aqua farming, indicate an interest in applying technology to solve practical problems, which can be a positive cultural fit for innovation-driven environments. The internship at Blackbucks, an AI-ML-DS role, aligns with current industry trends. However, the overall experience level is junior, which might require significant mentorship in a senior-level team.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse technical challenges, from web development to IoT and ML. The 'Smart IoT-Based Aerator Monitoring' project suggests an aptitude for practical problem-solving and considering real-world deployment constraints (rural deployment, low maintenance). The internship experience implies an ability to contribute to data-driven decision-making and model deployment. However, without specific behavioral assessment data, it's difficult to fully assess collaboration, stress handling, or communication in a team setting.