AI Engineer with less than a year in Machine Learning & LLMs
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring AI Engineer skilled in Python, machine learning, model deployment, and large language models (LLMs). I build AI systems that combine data cleaning, feature engineering, and scalable deployment to turn prototypes into production-ready AI services that streamline workflows and deliver actionable results.
ACE Engineering College
Bachelors of Technology · Computer Science and Engineering
August 1, 2021 – June 30, 2025
Alphores Junior College
Intermediate (10+2) · MPC
June 1, 2019 – May 31, 2021
Wisdom High School
Secondary School (SSC)
June 1, 2018 – May 31, 2019
Syncys Enterprises Private Limited
AI Intern
May 1, 2026 – June 1, 2026
Hyderābād, Telangana, India
Voice Activated Email Assistant
January 1, 2025 – June 1, 2026
Voice-enabled assistant for hands-free email management (read, compose, reply, organize). Improves accessibility and user efficiency through voice commands and Email API integration. Primary Tools & Technologies: Python, Natural Language Processing (NLP), Speech Recognition, Email APIs (Gmail / Outlook), Machine Learning (basic)
Syndrome Scan – Early Detection of Down Syndrome in Children
January 1, 2025 – June 1, 2026
Applied deep learning and transfer learning on facial images to classify Down syndrome, delivering a web-ready prototype for early screening. Designed for potential mobile and edge deployment to support accessible screening. Primary Tools & Technologies: Python, Deep Learning, Transfer Learning, Machine Learning, TensorFlow / Keras, NumPy, Pandas, Scikit-learn, Flask, MySQL Provides a compact, web-ready prototype intended to enable early, accessible screening through facial-image classification workflows.
AI Software Engineer Agent
January 1, 2025 – June 1, 2026
Automated GitHub issue analysis using an API-driven worker pipeline to generate safe, testable code-fix suggestions for reviewer approval. Integrates LLM-driven analysis, sandboxed Docker testing, and automated test runs to reduce developer triage time. Tools & Technologies: Python, FastAPI, Redis, RQ Worker, Docker, PostgreSQL, Groq API, Llama LLM, React.js, Tailwind CSS, Git, GitHub, Pytest, Postman Implements an API-driven pipeline that connects LLM analysis with sandboxed testing to produce reviewable, test-backed code suggestions.
Data Science and Python Full Stack
Magneq Solutions
June 1, 2026 – Present
Salesforce Developer Virtual Internship
Smart Internz
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's portfolio showcases a strong interest in AI and its practical applications, including projects with social impact (Syndrome Scan). The diversity of projects (NLP, computer vision, LLM agents) indicates a broad curiosity and willingness to explore different AI domains. The personal projects demonstrate initiative and self-driven learning, which are positive indicators for cultural fit in an innovative environment. The candidate is still pursuing a Bachelor's degree, which suggests a learning-oriented mindset.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted problems, suggesting good problem-solving skills. The focus on building functional prototypes and integrating various technologies points to a practical, results-oriented approach. The internship experience, though brief, shows exposure to a professional development environment. However, without direct assessment data on collaboration or communication in a team setting, it's difficult to fully assess operational fit beyond technical contributions.