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AI Engineer with less than a year in Python, LLMs, and Data Visualization
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am M. Hema Sri Harshitha, a recent B.Tech graduate in Computer Science Engineering with a specialization in Artificial Intelligence and Machine Learning. I have a strong interest in Generative AI, Machine Learning, Natural Language Processing, and Python development. Through academic and personal projects, I have gained hands-on experience in building AI-powered applications and working with large language models. I am eager to start my professional career and contribute to innovative AI solutions while continuously learning and growing in the field
Sphoorthy Engineering College
Btech · CSE-AIML
November 6, 2022 – June 20, 2026
TNS India Foundation
Youth Skilling & Employability – TNS India Foundation Training in Technical and Soft Skills
June 1, 2026 – Present
Hyderābād, Telangana, India
School of Computing at Sphoorthy Engineering College
Student Intern
August 1, 2025 – February 1, 2026
Hyderābād, Telangana, India
Swecha, Vishwam.Al
Summer Intern-Summer of AI
June 1, 2025 – August 1, 2025
Hyderābād, Telangana, India
AutoAgent Studio | No-Code AI Application Builder
June 1, 2026 – Present
Built a no-code platform that converts plain-English descriptions into functional, single-file HTML CRUD applications using Google Gemini 1.5 Flash, with a FastAPI/SQLAlchemy backend and live full-screen preview. Implemented user authentication, session management, and app history, enabling multi-user access and retrieval of previously generated applications.
Offline Large Language Model Deployment
June 1, 2026 – Present
Built and deployed an offline LLM using Python and Hugging Face Transformers with GPU acceleration for secure, low-latency text generation without external API dependency. Developed preprocessing, tokenization, and fine-tuning pipelines, packaged into reusable Python modules for easy deployment.
Emotion-Based Music Recommendation System
June 1, 2026 – Present
Built an ML application detecting emotions from facial expressions via OpenCV and TensorFlow, recommending music based on predicted mood. Improved model accuracy through image preprocessing, data augmentation, and CNN optimization, integrated into a modular Python application
Java Full Stack
Wipro
June 1, 2026 – Present
Python Full Stack
Eduskills
June 1, 2026 – Present
Google AI-ML Virtual Internship
Eduskills
June 1, 2026 – Present
Bronze Winner, ML Workshop
Innomatics Research Labs
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including a no-code AI builder, offline LLM deployment, and an emotion-based music recommendation system, shows a broad interest and capability within AI. Their involvement in community initiatives like contributing to Telugu LLM training and mentoring juniors indicates a willingness to contribute and learn. The certifications and workshop participation further highlight a proactive and continuous learning mindset, aligning well with a culture of innovation and growth. However, the experience level is entry-level, which might require more structured guidance in a senior team.
Soft Skills & Operational Fit
The candidate demonstrates soft skills such as problem-solving, critical thinking, and leadership through project descriptions and internship roles (e.g., mentoring juniors). Adaptability and attention to detail are also listed. These skills are beneficial for an AI Engineer role, especially in a dynamic development environment. The candidate's involvement in various activities and internships suggests a collaborative and engaged operational fit.