Aspiring AI/ML Engineer - ASP.NET Core Dev to ML

Sahil Sainath Shirodkar

Software Developer Transitioning to AI/ML

+91-958******* ****************@*****.*** Mapusa, Goa LinkedIn GitHub Professional Summary

Software Developer with 3 years of experience in ASP.NET Core and modern web technologies, actively transitioning into AI/ML through dedicated self-study and hands-on projects. Completed 300+ hours of specialized AI coursework and built production-grade machine learning applications. Seeking entry-level AI/ML role where I can apply my strong software engineering foundation to real-world data challenges. Technical Skills

Programming Languages: Python, C#, C++, SQL .

Generative AI & Agentic AI : Large Language Models (LLMS), Retrieval-Augemented Generation (RAG), Prompt Engineering, Context Grouding, Hallucination Control, Agentic Workflows (Tool-Calling, Memory, Planning), Conversational AI ML & Data Science: PyTorch, Hugging Face, Transformer, Scikit-learn, Pandas, NumPy,Feature Engineering, Model Evaluation, Statistical Analysis NLP & LLM Frameworks: LangChain, Hugging Face Embeddings, Document Question Answering, Text Chunking, Semantic Search, Vector Similarity Search

Vector Databases & Storage: ChromaDB, Embedding Indexing, Persistent Vector Stores Frameworks & Technologies: ASP.NET Core, React, AngularJS, Streamlit . Databases: MySQL.

Tools & Platforms: Git, Jupyter Notebook, Visual Studio, VS Code, Streamlit Cloud, Render. Concepts: Machine Learning, Deep Learning, Computer Vision, NLP, LLMs, Statistical Analysis, Feature Engineering, Gen AI, Agentic AI Systems. Professional Experience

Software Developer Open Destinations Ltd, Goa Feb 2023 - Present Developed and maintained robust travel solutions using ASP.NET Core, Python, MySQL, and AngularJS in cross-functional teams. Optimized backend logic, reducing processing time by 99.8% (from 10 minutes to 1 second). Led critical QA and debugging efforts, minimizing downtime by 25% and reducing issue resolution time by 40%. Collaborated with QA, BAS, and support teams, boosting delivery efficiency by 20%. Recognized as key contributor for on-time delivery and supporting critical milestones. AI Transition Initiative: Applied data analysis techniques to optimize business logic and implemented predictive features for user behavior. Projects

Fresh Harvest Detection - Agriculture / Computer Vision Project Link Presentation Link

[Python / PyTorch / Torchvision / Computer Vision / Deep Learning] Aug 2025 - Sep 2025 Built crop classification model using ResNet50 (PyTorch) with 90% accuracy. Engineered complete training pipeline with image preprocessing, data augmentation, and model optimization. Utilized cross-entropy loss and Adam optimizer for efficient model convergence. Deployed interactive web application using Streamlit. Online Payment Fraud Detection - FinTech Project Link Presentation Link

[Python/Scikit-learn/Pandas/NumPy/Matplotlib/Seaborn] May 2025 - May 2025 Developed fraud detection model using Logistic Regression with SMOTE for class imbalance. Achieved ROC-AUC of 0.95 through careful feature engineering. Created Streamlit interface for live fraud risk evaluation and demonstration. Medical Assistant AI – Retrieval Augmented Generation (RAG) Project Link Presentation Link

[Python/LangChain/LLaMA-3 (Groq)/HuggingFace Embeddings/Chroma DB/Streamlit/NLP] Nov 2025 - Dec 2025 Built an end-to-end Retrieval Augmented Generation (RAG) system for querying medical PDF documents using LangChain, ChromaDB, and LLaMA-3 (Groq).

Implemented semantic search with HuggingFace embeddings and persistent vector storage for accurate document-grounded responses. Designed a Streamlit-based conversational UI supporting multi-PDF upload, re-indexing, and chat history management. Enforced hallucination control by restricting LLM responses strictly to retrieved document context.(healthcare-safe design). Education

Bachelor of Engineering in Information Technology

Goa College of Engineering, Goa 2018 - 2022 CGPA: 7.5 Certifications

Python for Data Professionals - Codebasics (Feb 2025) Certification Link SQL for Data Science - Codebasics (Mar 2025) Certification Link Math & Statistics for AI - Codebasics (Mar 2025) Certification Link Machine Learning for Data Science - Codebasics (Jun 2025) Certification Link Deep Learning & Computer Vision - Codebasics (Aug 2025) Certification Link Natural Language Processing - Codebasics (Sep 2025) Certification Link Career Transition Note

Transitioning from software development to AI/ML through systematic self-study and project work. Combining 3 years of professional software engineering experience with recently acquired machine learning skills.

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