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Fullstack Engineer with 2+ years in MEAN Stack & Machine Learning
Results-driven MEAN Stack Developer and Machine Learning practitioner with 2.6 years of full-stack engineering experience at KTech Products. Skilled in building, training, and evaluating machine learning models using Python, Scikit-learn, TensorFlow, and PyTorch, with hands-on expertise in data preprocessing, feature engineering, classification, and regression. Proven ability to architect scalable Angular and Node.js applications, optimise MongoDB pipelines, and integrate intelligent automation (RPA, Smart OCR, Chatbots) in production. Currently pursuing Oracle AI/ML Certification and expanding ML portfolio with RAG-based PDF data-extraction projects. Seeking ML Engineer or Full-Stack ML roles to deliver impactful AI solutions in enterprise and education-tech environments.
KL University
Bachelor of Engineering · Electronics & Communications Engineering
January 1, 2018 – December 1, 2022
KTech Products
Machine Learning & Full-Stack Developer - Associate Consultant
December 1, 2022 – July 1, 2025
Hyderābād, Telangana, India
RPA Portal (Internal Enterprise Application)
June 25, 2026 – Present
Built end-to-end CRUD modules (Angular frontend + Node.js/Express backend) to display, create, update, and delete live operational data in dynamic tables. Implemented advanced multi-column server-side filtering across all portal pages, reducing data-retrieval overhead for operations teams. Engineered Excel export functionality enabling users to download filtered table data directly, cutting manual reporting time significantly. Designed a complete User & Role Management module with RBAC, supporting multiple permission levels and access tiers across business units.
OAAP Online Admission & Application Portal
June 25, 2026 – Present
Developed student-facing Angular components for multi-step application forms with real-time field validation, error handling, and secure document uploads. Built the admin-side dashboard to review, track, and manage incoming applications with list views, status filters, and detailed application panels. Designed and integrated RESTful APIs for seamless data flow between student submission forms and the administrative review interface. Enabled two-way SMS notifications via Twilio API, ensuring real-time communication throughout the admissions lifecycle.
RAG-Based PDF Data & Image Extraction
June 25, 2026 – Present
Built a Retrieval-Augmented Generation (RAG) pipeline to extract structured text and embedded images from multiple PDFs simultaneously. Leveraged LangChain with FAISS vector store for semantic search, enabling accurate content retrieval across large document collections. Integrated pdfplumber and PyMuPDF for image and table extraction, with results served via a lightweight REST API endpoint.
ML Model Experimentation Portfolio
June 25, 2026 – Present
End-to-end machine learning pipelines across multiple domains: trained Convolutional Neural Networks (CNN) for image classification; implemented linear regression and logistic regression pipelines for tabular datasets; applied random forest and gradient boosting classifiers with cross-validation. Pipelines include full preprocessing (imputation, feature scaling, one-hot encoding), hyperparameter tuning via GridSearchCV, and performance visualisation with Matplotlib/Seaborn. Models packaged with Docker for reproducible local deployment.
Oracle AI/ML Certification
Oracle
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, spanning enterprise full-stack applications, education portals, and advanced ML/AI projects (RAG, ML experimentation), indicates a broad interest and adaptability. The combination of full-stack and machine learning skills aligns well with a 'Fullstack Engineer' role that might involve ML integration. The pursuit of an Oracle AI/ML Certification further shows a proactive approach to skill development and a desire to stay current with industry trends. The experience in an Associate Consultant role suggests an ability to work with different client needs and adapt to varied project requirements.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills, attention to detail, and the ability to communicate complex technical concepts. Experience in Agile/scrum workflows, code reviews, and cross-functional collaboration indicates good operational fit for team environments. The focus on performance metrics and documentation quality aligns with best practices for production-grade systems.