Malavika Suresh
Tiruvalla
Summary
AI and Machine Learning Engineer with over 5 years of experience in developing and deploying advanced AI solutions. Expertise in deep learning, machine learning, computer vision, and natural language processing. Strong programming skills in Python and Django, with a focus on data visualization and system integration. Proven track record of collaborating with cross-functional teams to deliver impactful AI-driven results.
Overview
6
6
years of professional experience
Work History
Artificial Intelligence and Machine Learning Engineer
Cades Studec Technologies India
Bengaluru
08.2021 - Current
- Deep Learning Model Development: Utilized PyTorch, TensorFlow, and Keras to design and deploy CNN, LSTM, RNN, and Autoencoder models, effectively addressing complex sequence modeling challenges.
- Document Comparison Tool: Created an automated application for comparing PDF and DOCX documents, enhancing analysis accuracy through predefined sentence matching and expediting review processes.
- Automated Image and File Downloader: Developed a Selenium driven tool to automate image downloads from Airbus and retrieve up to 64,000 files from TDUMS using ISN numbers from Excel, significantly minimizing manual data collection and retrieval efforts.
- Excel Data Segregation: Implemented a solution to organize and categorize Excel data by project, improving data management and accessibility for cross-functional teams.
- Excel-REDPROD Data Integration: Built an automation tool for data extraction and matching between multiple Excel files and REDPROD extracts, generating reports for unmatched data and producing import-ready files for efficient updates.
- Retina Application: Led the development of an application that retrieves similar images from large datasets based on user queries, facilitating visual data analysis.
- British to American English Converter: Developed a licensed Windows application that identifies British English words and suggests American English alternatives, featuring secure installation with a license key for end users.
- Machine Learning System Monitoring: Monitored and maintained machine learning systems post-deployment, ensuring sustained performance and addressing issues promptly.
- Data Cleansing and Preprocessing: Conducted thorough data cleansing and preprocessing to ensure high-quality datasets for model training and validation.
Artificial Intelligence Developer
Oracuz Infotech Pvt Ltd
Thiruvananthapuram
09.2020 - 07.2021
- Contributed to live machine learning and deep learning projects, including a face recognition-based attendance system using OpenCV and an NLP chatbot utilizing RNNs.
- Conducted a research thesis on detecting COVID-19, pneumonia, and tuberculosis using deep learning techniques.
- Completed 10+ academic projects in areas such as plant disease detection, brain tumor detection with steganography, COVID-19 symptom analysis, image captioning, language translation with transformers, and cricket prediction using Django.
- Monitored deployed AI systems to assess performance and implemented improvements as needed.
- Collaborated with development teams to integrate AI features into products, ensuring seamless functionality and user experience.
- Led knowledge-sharing sessions to educate team members on AI and machine learning methodologies.
- Designed, developed, and deployed machine learning models to enhance predictive analytics in academic and client-based projects.
Project Developer
IHRD Regional Center
Thiruvananthapuram
01.2020 - 09.2020
- Implemented deep learning algorithms across diverse domains including: Medical diagnostics: Brain tumor detection, iris tumor detection, breast cancer detection, melanoma recognition.
- Image processing: Saliency detection, plant species recognition, gesture and flower recognition using ResNet, AlexNet, VGG, InceptionV3, Xception, and CNN.
- Predictive analytics: Cricket match outcome prediction.
- Natural Language Processing: Text summarization, image caption generation.
- Segmentation: Nano-particle segmentation using AI.
- Emotion recognition: Facial emotion detection using Haar Cascade and CNN.
- Utilized Python, OpenCV, MATLAB, TensorFlow, and Keras for end-to-end project execution.
- Published research in the International Journal of Innovations & Implementations in Engineering on deep learning techniques.
- Led technical workshops and training sessions to upskill team members and promote continuous learning.
- Supported project bidding by preparing technical proposals and delivering persuasive presentations.
Education
PG Diploma - Embedded System and Image Processing
IHRD
Trivandrum, Kerala01.2019
Master of Science - Electronics
CAS, IHRD
Mavelikara, Kerala01.2019
Bachelor of Science - Physics
Devasom Board Pampa College
Parumala, Kerala01.2017
Skills
- Programming: 5 years of experience with Python and Django, along with expertise in HTML, CSS, and Bootstrap for application development
- Machine Learning: Over 5 years working with Scikit-learn and ML algorithms, including supervised learning, unsupervised learning, and regression analysis
- Deep Learning: 5 years developing and deploying models using TensorFlow, Keras, and PyTorch (CNN, LSTM, RNN, Autoencoders)
- Data Visualization: 5 years creating insights with Matplotlib, Seaborn, and Plotly
- Computer Vision: 4 years applying OCR, image classification, feature extraction, and advanced CV frameworks for real-world projects
- Natural Language Processing: 2 years building chatbots, machine translation, and text processing systems
- Automation & Tools: 4 years expertise in Selenium, Git, SVN, Agile methodologies, and CI/CD for automation and system integration
- Databases & Data Handling: Skilled in SQL, MongoDB, Pandas, and NumPy for large-scale data management and preprocessing
- MLOps & Deployment: Experience with Docker, Flask, and Streamlit for model deployment and integration into applications
- Application Packaging & Distribution: Proficient in creating Windows executables using cx_Freeze and PyInstaller, building installers with Inno Setup, configuring license-key based activation, and integrating WebSocket communication for applications
- Collaboration & Leadership: Strong in cross-functional teamwork, technical documentation, and mentoring AI/ML practitioners
Personal Information
- Date of Birth: 03/29/97
- Nationality: Indian
Accomplishments
- https://www.researchgate.net/publication/339998573_Real-Time_Hand_Gesture_Recognition_Using_Deep_Learning
- https://www.researchgate.net/publication/352148333_Brain_Tumour_Detection_Using_Deep_Learning
Timeline
Artificial Intelligence and Machine Learning Engineer
Cades Studec Technologies India
08.2021 - Current
Artificial Intelligence Developer
Oracuz Infotech Pvt Ltd
09.2020 - 07.2021
Project Developer
IHRD Regional Center
01.2020 - 09.2020
PG Diploma - Embedded System and Image Processing
IHRD
Master of Science - Electronics
CAS, IHRD
Bachelor of Science - Physics
Devasom Board Pampa College
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