Gonela Sriya
@gonelasriya
I turn ambiguous data and software problems into practical AI and Android solutions.
United KingdomWhat I'm looking for
I'm a Computer Science graduate in AI/ML who turns ambiguous requirements into working data and software solutions.
Through AICTE–EduSkills, I analysed structured datasets across collection, cleaning, model training, and evaluation to draw actionable conclusions. I also communicated technical findings clearly and independently prioritised next steps in a self-directed programme.
In the Google-affiliated Android Developer virtual internship, I built Android applications end-to-end, using user needs and usability data to guide design and engineering decisions. I debugged and iterated through an Agile-style workflow with course mentors.
My Driver Drowsiness Detection System applied computer vision to fatigue-related road safety, balancing accuracy, cost, and real-time feasibility across facial, eye-tracking, and sensor-based inputs. Hackathon, open-source AI, and college-event coordination experiences have strengthened how I collaborate, communicate, and deliver under deadlines.
Experience
Work history, roles, and key accomplishments
Android Developer Virtual Internship
AICTE – EduSkills
Built Android applications end-to-end, translating user needs and usability data into design and engineering decisions. Debugged and iterated on functionality through a structured, Agile-style workflow, collaborating with course mentors to validate outcomes.
AI/ML Virtual Internship
AICTE – EduSkills
Analysed structured datasets and translated raw requirements into working prototypes, applying a full data workflow of collection, cleaning, model training and evaluation. Took ownership of a self-directed programme, communicating technical findings clearly and prioritising next steps independently.
Education
Degrees, certifications, and relevant coursework
Nalla Malla Reddy Engineering College
B.Tech, Artificial Intelligence and Machine Learning
Grade: 8.7/10
Pursuing a B.Tech in Artificial Intelligence and Machine Learning with a CGPA of 8.7/10, expected to graduate in 2025.
Coventry University
MSc, Computer Science
Pursuing an MSc in Computer Science with an expected graduation in 2027.
RD Junior College
Intermediate (Class XII), Intermediate
2019 - 2021
Grade: 92%
Completed Intermediate (Class XII) with 92%.
Tech stack
Software and tools used professionally
Availability
Location
United KingdomAuthorized to work in
Social media
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