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AI Engineer with 1+ years in Machine Learning, Deep Learning, NLP, and Computer Vision.
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 & Data Science professional with hands-on experience in Machine Learning, Deep Learning, NLP, and Computer Vision. Skilled in building end-to-end AI solutions including transformer models, real-time recognition systems, and automated ML pipelines using Python, TensorFlow, and Scikit-learn. Passionate about leveraging data-driven insights and Generative AI to solve real-world problems.
Koneru Lakshmaiah University
B.Tech · Computer Science Engineering
August 1, 2020 – June 30, 2024
Innomatics Research Labs
AI Intern - Agent-Based Data Science Automation (LangGraph & LLMs)
November 1, 2024 – October 1, 2025
India
Neural Machine Translation System (English ↔ Telugu | Transformers)
June 1, 2026 – Present
Built a 6-layer Encoder-Decoder Transformer model for English–Telugu translation, trained on 21L+ parallel sentence pairs for improved contextual understanding. Implemented subword tokenization using SentencePiece to handle out-of-vocabulary (OOV) words and enhance translation accuracy. Optimized attention mechanisms within the Transformer architecture to generate more accurate and context-aware translations. Deployed the model as a real-time web application using Streamlit, enabling live inference and user interaction.
View ProjectAI-Based Face Recognition Attendance System
June 1, 2026 – Present
Built a face recognition system using 478 facial landmarks (MediaPipe Face Mesh) for high-precision identification. Engineered normalized facial features and trained a Random Forest classifier for accurate recognition. Developed an automated attendance system with login/logout tracking and work-hour calculation. Eliminated manual attendance processes, achieving 100% automation through biometric verification.
View ProjectReal-Time Hand Gesture Recognition & Text-to-Speech System
June 1, 2026 – Present
Developed a real-time hand gesture recognition system using 21-point hand landmark detection with MediaPipe and OpenCV. Built a custom dataset (1,200+ samples/class) and engineered normalized 3D landmark features for robust gesture classification. Trained a Random Forest model with noise reduction techniques to achieve accurate real-time gesture prediction. Converted recognized gestures into continuous text and speech output using gTTS, improving accessibility and user interaction.
View ProjectData Science
Innomatics Research Labs
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity (NMT, gesture recognition, face recognition, automated data science) indicates a broad interest in AI applications. The internship role as an 'AI Intern - Agent-Based Data Science Automation' aligns well with an 'AI Engineer' target role, showing a clear career path. However, the experience level (1 year) and focus primarily on personal projects and an internship suggest a need for more exposure to collaborative, production-grade environments to fully assess cultural fit in a senior role.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and applying AI concepts through personal projects. The internship experience highlights an ability to work on complex, automated systems. However, the resume does not provide sufficient information to assess specific soft skills like teamwork, problem-solving under pressure, or communication in a collaborative environment beyond project descriptions.