ADUSUMILLI TEJA

AI Engineer

https://www.opentalent.in/adusumilli-teja

AI Engineer with less than a year in Machine Learning, Python, and Java.

Key Strengths

Strong foundational knowledge in AI/ML concepts, particularly in LLMs, RAG, and CNNs, demonstrated through academic projects.
Practical experience with key AI frameworks and libraries such as TensorFlow, Keras, NumPy, OpenCV, and MediaPipe.
Ability to develop end-to-end AI solutions, including model training, optimization, and integration with user interfaces (Flask).
Exposure to diverse AI applications, from natural language processing (legal assistant) to computer vision (crop disease, gesture control).
Proactive in acquiring certifications in relevant areas like Data Analytics, SQL, and Java, indicating a commitment to continuous learning.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's academic projects showcase a strong interest in applying AI to solve real-world problems, aligning well with an innovative and impact-driven culture. The diversity of projects (NLP, computer vision) indicates a broad technical curiosity and willingness to explore different domains. However, the lack of professional experience means there's no direct evidence of collaboration within a team or navigating corporate environments. The focus on academic projects suggests a learning-oriented mindset, which can be a good cultural fit for organizations that value continuous development.

Soft Skills & Operational Fit

The candidate demonstrates strong problem-solving skills and a passion for building AI-powered solutions. The project descriptions highlight critical thinking and an ability to adapt to new technologies. While direct experience in a professional operational environment is lacking due to the academic background, the project work suggests a collaborative approach and a focus on user interaction. The candidate is a fast learner and quick adapter, which are valuable traits for operational fit.

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Education

MLR Institute of Technology, Hyderabad

Bachelor of Technology · Computer Science and Engineering

November 1, 2022 – May 1, 2026

SriChaitanya Junior College, Hyderabad

Class XII · MPC (Maths, Physics, Chemistry)

June 1, 2020 – June 1, 2022

Vidya Vani High School, Hyderabad

SSC

June 1, 2019 – May 1, 2020

Projects

AI Powered Legal Assistant Using LLMs

June 1, 2023 – June 1, 2026

Built a multilingual AI-powered legal assistant system to help users understand laws, upload legal documents, and generate legal drafts. Integrated a Retrieval-Augmented Generation (RAG) pipeline for context-based information retrieval using semantic search. Implemented legal jargon simplification and multilingual translation support for enhanced accessibility. Designed and developed a responsive and intuitive interface ensuring seamless user interaction. Utilized ChromaDB and Sentence Transformers for accurate and efficient legal text processing.

Hand Gesture Volume Controller

June 1, 2023 – June 1, 2026

Developed a computer vision-based system that controls system audio volume using real-time hand gesture recognition. Utilized MediaPipe for hand landmark detection and OpenCV for gesture tracking through webcam input. Implemented finger pointing mechanism to map hand gestures to volume control levels dynamically. Achieved smooth and accurate volume adjustments with minimal latency for enhanced user interaction. Designed an intuitive and contactless human-computer interaction system in daily applications.

Crop Disease Detection Using CNN

June 1, 2023 – June 1, 2026

Developed an AI-driven system to detect and classify crop diseases from leaf images using Convolutional Neural Networks (CNN). Trained the model on categorized image datasets to identify diseases such as rust, leaf blight, and mosaic virus with 95% accuracy. Optimized the model performance through data augmentation and fine-tuning of CNN parameters. Visualized training metrics and prediction results to evaluate accuracy and loss effectively. Achieved significant improvement in prediction accuracy through hyperparameter tuning and validation-based performance evaluation.

Certifications

Java

Hackerrank

January 1, 2025 – Present

SQL

Intellipaat

January 1, 2025 – Present

Essentials of Data Analytics

Cisco

January 1, 2024 – Present

Key Strengths

Strong foundational knowledge in AI/ML concepts, particularly in LLMs, RAG, and CNNs, demonstrated through academic projects.
Practical experience with key AI frameworks and libraries such as TensorFlow, Keras, NumPy, OpenCV, and MediaPipe.
Ability to develop end-to-end AI solutions, including model training, optimization, and integration with user interfaces (Flask).
Exposure to diverse AI applications, from natural language processing (legal assistant) to computer vision (crop disease, gesture control).
Proactive in acquiring certifications in relevant areas like Data Analytics, SQL, and Java, indicating a commitment to continuous learning.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

ADUSUMILLI TEJA

Key Strengths

Cultural & Operational Fit

About

Top Skills

Skills

Education

Projects

Certifications

Key Strengths

Cultural & Operational Fit