Adapa Akhilesh

Adapa Akhilesh

Aspiring Software Developer | Full-Stack & AI/ML Enthusiast


About

I'm an aspiring Software Developer and Computer Science student passionate about building practical solutions using Full-Stack Development, Artificial Intelligence, and Machine Learning. I enjoy turning ideas into useful, user-friendly applications and continuously improving my skills through hands-on projects, hackathons, and collaborative learning. Projects I'm building: - CareSync + SafeWatch: A smart healthcare companion focused on elderly safety, medication reminders, emergency alerts, and smartphone-based fall detection. - GitFixAI: An AI-powered GitHub issue solver that helps developers understand issues and generate potential fixes. - E-Commerce Platform: A full-stack web development project focused on building a functional online shopping experience. Technical interests: JavaScript, Python, Java, HTML, CSS, MongoDB, AI/ML, APIs, and web application development. I'm eager to connect with developers, mentors, recruiters, and the Google Developer community, collaborate on meaningful projects, participate in hackathons, and explore internship opportunities. Always learning, building, and growing as a developer.

Skills
Programming Languages: Java
Python
JavaScript Web Development: HTML
CSS
JavaScript
Full-Stack Development Databases: MongoD
SQL
Oracle Database AI & Machine Learning: M
Generative AI
LLM Integration
AI-Powered Applications Tools & Platform
GitHub
VS Code
Streamlit
Vercel Core Computer Science: Data Struc
Object-Oriented Programming (OOP)
DBMS Other Skills: Problem Solving
Hackathon Participation
Team Collaboration
Experience

Operations Lead

Knowvation Learnings — Voices of Telangana

  • Lead district-hub operations, support student technology projects and industry mentorship, and coordinate leadership, communication, and event-management initiatives.

MERN Stack Developer Intern

Codec Technologies

  • Developed full-stack applications using MongoDB, Express.js, React.js, and Node.js. Integrated REST APIs, worked with Mongoose data models, implemented JWT authentication, and explored deployment workflows.

Python Full Stack Development Intern

RVNS Solutions Pvt. Ltd.

  • Developed full-stack web applications using Python, Flask, HTML, CSS, and JavaScript. Managed MySQL databases and worked on front-end/back-end integration, testing, and deployment.

Full Stack Development Intern

Thiranex

  • Built end-to-end web applications and gained hands-on experience in front-end and back-end development while strengthening full-stack engineering skills.

AI Engineer Intern

MetaTaaraka AI Innovations Pvt. Ltd.

  • Designed AI-powered solutions using Python, TensorFlow, NLP pipelines, and machine learning model integrations. Worked with Oracle Cloud Infrastructure (OCI) on AI systems.
Projects

AgriSat — AI Crop Monitoring & Irrigation Advisory

Built an AI-powered crop monitoring system combining Sentinel-1 SAR and Sentinel-2 satellite imagery to analyze crop health, classify crop growth stages, detect moisture stress, and provide weather-aware irrigation recommendations.

Python
Streamlit
Sentinel-1 SAR
Sentinel-2
Copernicus Data Space Ecosystem (CDSE)
SoilGrids API
OpenWeatherMap API
OpenRouter API
LLMs

GitHub Issue Solver — GitFix AI

Developed an AI-powered developer tool that fetches open GitHub issues, filters issues by labels, and generates intelligent fix plans with root-cause analysis, implementation steps, code hints, and suggested files to modify. Supports exporting solutions as text files.

Python
Streamlit
GitHub REST API
OpenRouter API
Large Language Models (LLMs)
REST APIs

Voice Command Assistant — AI / NLP

Built a voice-controlled assistant that processes spoken commands using speech recognition and NLP intent classification. Integrated speech emotion recognition to identify emotions such as happiness, sadness, and anger and support context-aware responses.

Python
Whisper
SpeechRecognition
SpeechBrain
PyAudio
NLP
TensorFlow
PyTorch

Mental Health Companion Chatbot

Developed an AI-powered conversational chatbot that provides supportive responses through natural-language interaction, using NLP and machine learning techniques to help users discuss their feelings and access general emotional support.

Python
Natural Language Processing (NLP)
TensorFlow
Machine Learning
NLTK

EV Type Predictor

Built a machine learning classification model to predict electric vehicle categories, including BEV, PHEV, and HEV, based on vehicle specifications and performance parameters. Used data analysis and model evaluation to explore prediction results.

Python
Pandas
NumPy
Scikit-learn
Matplotlib
Seaborn

CareSync + SafeWatch — Smart Family Healthcare & Elderly Safety Platform

Developing a family healthcare companion for elderly people living alone, featuring medication reminders, daily check-ins, family monitoring, health information management, smartphone-based fall detection, and emergency alert workflows.

Full-Stack Development
AI
Smartphone-Based Fall Detection
Healthcare Workflows
Medication Reminders
Emergency Alerts
Education

Btech

Malla Reddy College of engineering and technology · 9.15

Sept 2024 to Sept 2028
Certifications

IBM Full Stack Software Developer Professional Certificate

IBM / Coursera

IBM DevOps and Software Engineering Professional Certificate

IBM / Coursera

IBM AI Developer Professional Certificate

IBM / Coursera

Microsoft Generative AI Engineering Professional Certificate

Microsoft / Coursera

Microsoft UX Design Professional Certificate

Microsoft / Coursera

Google AI Professional Certificate

Google / Coursera

Applied Software Engineering Fundamentals Specialization

IBM / Coursera

AI and Software Development Certifications

Infosys Springboard

AI Fluency and AI Capabilities Certifications

Anthropic

C1 English Advanced Certificate

Cambridge

Software Engineer Certificate

HackerRank

Microsoft Leadership and Innovation Professional Certificate

Microsoft