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AI Engineer with less than a year in Machine Learning & LLMs
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 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.