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Darshan Linge Gowda

Darshan Linge Gowda

student

TUC

Technologies

Quantitative magician, conjuring valuable knowledge from data spells.

My Work

Take a look at my latest work.

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TravelAI — Personal Travel Concierge Agent | Kaggle

PythonSQLGit
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AI SRE Copilot — Multimodal LLM Observability | Devpost

github

GitHub - DarshanLingegowda/TravelAI-MM: TravelAI-MM is a production-ready multimodal RAG system that ingests text, images, and audio, embeds them into a unified vector space, and generates grounded travel itineraries with citations. Designed with Azure-ready pipelines, evaluation hooks, and data-centric architecture for scalable AI systems.

article

TravelAI — Personal Travel Concierge Agent | Kaggle

PythonSQLGit

My Certifications

These are the industry credentials that I’ve earned.

Other Certificates

Datacamp Associate AI Engineer For Developers

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

AI Ethics
Working with the OpenAI API
Prompt Engineering with the OpenAI API
Developing LLM Applications with LangChain

My Work Experience

Where I've interned and worked during my career.

Harvard Online | Mar 2024 - Feb 2025

Student Trainee

HarvardX CS50’s Introduction to Programming with Python (edX) Completed Successfully completed HarvardX CS50P: Introduction to Programming with Python, a rigorous course by Harvard University, covering fundamental and advanced Python concepts. Key Learnings & Skills Acquired: # Python Fundamentals – Variables, data types, conditionals, loops, functions, and exceptions. # Data Structures – Lists, tuples, sets, dictionaries, and their efficient usage. # File Handling – Reading, writing, and managing files in Python. # Regular Expressions – String pattern matching and text manipulation. # Object-Oriented Programming (OOP) – Classes, objects, methods, encapsulation, and inheritance. # Testing & Debugging – Writing test cases using pytest, debugging strategies, and error handling. # Algorithms & Complexity – Understanding algorithmic efficiency and implementing searching & sorting algorithms. # Libraries & Modules – Exploring Python’s built-in libraries and working with external packages. # Web & API Integration – Fetching and processing data using APIs. # Project-Based Learning – Hands-on problem-solving, coding challenges, and real-world applications. Final Project (In Progress) – Working on a practical project to demonstrate proficiency in Python programming. This course has strengthened my problem-solving abilities, coding efficiency, and ability to write clean, maintainable Python code, making me proficient in developing scalable applications.
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Kaggle | Nov 2024 - Nov 2024

Student Trainee - Generative AI

Excited to share that I have successfully completed the 5-Day Generative AI Intensive Course by Kaggle and Google! This course provided a deep dive into Generative AI concepts, covering foundational models, embeddings, AI agents, domain-specific LLMs, and MLOps. Each day was packed with hands-on coding labs, whitepapers, and expert-led discussions. Day 1: Foundational Models & Prompt Engineering Explored the evolution of Large Language Models (LLMs), transformers, and fine-tuning techniques. Learned prompt engineering strategies to optimize LLM interactions. Day 2: Embeddings & Vector Stores Understood how embeddings work and their role in vector search and retrieval-augmented generation (RAG). Explored vector databases and real-world applications in AI-driven search systems. Day 3: Generative AI Agents Learned how to build and orchestrate AI agents by integrating multiple LLM capabilities. Explored agent architectures and frameworks. Day 4: Domain-Specific LLMs Gained insights into creating specialized LLMs tailored for specific industries like healthcare (Med-PaLM) and finance. Studied use cases and fine-tuning methods for domain-specific applications. Day 5: MLOps for Generative AI Explored MLOps best practices for deploying and managing generative AI models. Used Vertex AI for scalable model deployment and monitoring. Key Takeaways: ✔# Deep understanding of GenAI concepts and practical implementations. ✔# Hands-on experience with prompt engineering, embeddings, and model fine-tuning. ✔# Best practices for deploying and managing AI systems in production environments. Next Steps: I’m excited to apply these learnings in real-world AI projects and continue exploring cutting-edge AI innovations. A big thanks to Kaggle and Google for curating this insightful course! #GenerativeAI #AI #MachineLearning #LLMs #PromptEngineering #MLOps #ArtificialIntelligence #Kaggle #GoogleAI

Skill Nation | May 2024 - May 2024

Student Trainee

N/A

MIT Institute for Data, Systems, and Society (IDSS) | Mar 2022 - May 2022

Student

Excited to share that I have successfully completed the MIT IDSS Data Science and Machine Learning: Making Data-Driven Decisions 10-week online program! This intensive program, taught by MIT faculty, covered key concepts in Python, statistics, supervised & unsupervised learning, deep learning, recommendation systems, networks, and predictive analytics. Through hands-on projects and case studies, I gained practical experience in applying these techniques to real-world scenarios. Key Projects & Learnings: # FIFA World Cup Analysis – Data visualization and exploratory analysis # Movielens Recommendation System – Collaborative filtering for personalized movie recommendations # Fitness Product Customer Footfall Analysis – Applying statistical inference for business insights # PCA: Identifying Faces – Dimensionality reduction techniques for feature extraction # Spectral Clustering: Grouping News Stories – Unsupervised learning for pattern discovery # Predicting Wages & Gender Wage Gap Analysis – Regression techniques for predictive modeling # NYC Taxi Trips Predictive Modeling – Feature engineering and time-series forecasting # Kalman Filtering for Object Tracking – State estimation in dynamic systems # Autism Gene Identification via Network Analysis – Graph theory and machine learning for biomedical insights This journey has further strengthened my expertise in data-driven decision- making, and I look forward to leveraging these skills in impactful projects! #MITIDSS #DataScience #MachineLearning #AI #PredictiveAnalytics #RecommendationSystems #DeepLearning #BigData #BusinessAnalytics

PICA GmbH | Nov 2018 - Dec 2021

Software Developer

Developed and maintained scalable, data-driven enterprise applications for industrial automation clients. Applied C#, .NET, and SQL to deliver modular solutions aligned with system performance requirements. Integrated data visualization tools to support analytics and operational decision-making. Impact: Improved system performance by 30%, enhanced application stability, and enabled real-time business insights.

aam it GmbH | Mar 2018 - Oct 2018

Software Developer (External - AMAN Media GmbH)

Contributed to the Vorwerk smart appliance digitalization project. Designed backend features and APIs using C#, SQL Server, and Agile methodologies. Supported full software development life cycle from requirements to deployment. Impact: Delivered robust, consumer-facing features; increased deployment efficiency and reduced post-launch issues.

adremes | May 2017 - Sep 2017

Software Developer - Trainee

Built internal tools for media planning and advertisement scheduling. Developed backend logic using C# with MVC design patterns. Assisted in improving operational workflows for radio ad slot booking. Impact: Reduced manual scheduling workload by 40%; improved process automation.

Fusion Systems GmbH | Jan 2016 - Aug 2016

Graduate Student

Internship: Created data processing modules and visualization tools for GNSS testing pipelines. Master Thesis: Researched and developed GNSS signal processing solutions adopted into the Galileo Map Services ecosystem. Impact: Thesis work contributed to real-world location-based services; demonstrated effective academic-to-industry application.

My Education

Take a look at my formal education

Master's degree, information and communication systemsTechnische Universität Chemnitz | 2017
Bachelor of Engineering (BE),  Electronics and Communications EngineeringVisvesvaraya Technological University | 2013
SSLC Hymamshu Jyothi Kala Peetha | 2007

About Me

Darshan Linge Gowda

I am looking for AI/ML roles in Munich Germany

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