Gopi Trinadh Maddikunta

Gopi Trinadh Maddikunta

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GSoC 2025: My Defining Chapter..
  • Learning
  • Coding
  • Contributing

 

🚀 This summer, I’m contributing to LLM4S with the Scala Center through Google Summer of Code 2025 — tracing the inner workings of LLMs and documenting every insight along the way.
Stay tuned — it’s more than just code. 😉

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Proposal

Web Design

Firogo Ltd

Web Design

Firogo Ltd

Web Design

Firogo Ltd

JAN 10, 2025
JAN 10, 2025

Spark of Curiosity

✍️ It all started with a spark — discovering Google Summer of Code and realizing its potential to blend learning, contribution, and global collaboration. That day set the tone for what would become a defining chapter in my tech journey.
JAN 18, 2025
JAN 18, 2025

The Hunt Begins

✍️ I dove deep into the archives, reading about past projects, proposals, and student journeys. The more I read, the more inspired I felt to find a project where I could contribute meaningfully.
JAN 24, 2025
JAN 24, 2025

Enter Scala Center

✍️ While exploring organizations, I stumbled upon Scala Center. Their commitment to functional programming and the innovative LLM4S project drew me in instantly. This was it — the match I was looking for.
FEB 8, 2025
FEB 8, 2025

Understanding the Mission

✍️ I studied the internals of LLM4S, joined their Discord, and interacted with contributors. Slowly, the project started to feel like home, and I visualized how tracing support could bring value.
FEB 14, 2025
FEB 14, 2025

Locking the Vision

✍️ After many iterations and mentor feedback, I locked in on the idea of building traceability for LLMs in Scala. This was the moment where vision met clarity.
MAR 25, 2025
MAR 25, 2025

The Proposal Sprint

✍️ It was an intense 20-day marathon of writing, reviewing, editing, and refining. I crafted every section of the proposal with care—timeline, milestones, impact—and submitted it with hope.
MAR 31, 2025
MAR 31, 2025

The Acceptance Moment

✍️ The moment I received the acceptance email, everything changed. I was officially a GSoC Contributor! A moment of joy, pride, and deep motivation to give it my all.
APR 2, 2025
APR 2, 2025

Stepping In

✍️ Joined the Scala Center community, set up the dev environment, and started syncing with mentors. This marked the official beginning of my contributor journey.
APR 5, 2025
APR 5, 2025

Fuel for the Mission

✍️ To sharpen my skills, I was granted access to Rock the JVM’s premium Scala courses. These are the gold standard for Scala learning—and I’m using them to fuel every step forward.
May 30, 2025
May 30, 2025

Laying the Foundations

🧱 This first part of my Scala journey dives into the essentials—expressions, object orientation, and functional programming. These core concepts not only built my confidence in Scala but also unlocked a deeper understanding of how expressive and powerful the language truly is.
June 11, 2025
June 11, 2025

Unlocking Scala’s Power Tools

🧠 In Part 2, I stepped into Scala's more advanced realms—pattern matching, lazy evaluation, Futures, and Scala 3's contextual abstractions. These tools elevated my coding style, enabling me to write more expressive, resilient, and asynchronous programs the functional way.
June 16, 2025
June 16, 2025

From Documents to Embeddings – GSoC 2025 Kickoff

My first blog kicks off the journey by exploring the LLM4S repository and understanding its modular architecture. I documented how I built a generic EmbeddingClient interface, added support for OpenAI and VoyageAI, and handled API configuration with flexibility in mind.
June 30, 2025
June 30, 2025

Universal Extraction + Embedding Client = One Step Closer to RAG

This post dives into real-world file processing. I developed a UniversalExtractor module that handles PDFs, DOCX, HTML, and plain text using Apache Tika and Jsoup. These extractors were then connected to the EmbeddingClient, enabling true document-to-vector workflows.
July 18, 2025
July 18, 2025

Midterm Milestone – Modular RAG in Motion

Passed my GSoC midterm evaluation! ✅
Built OpenAI/VoyageAI embedding support, multi-format document extractors, and laid the groundwork for similarity scoring + FAISS.
Now moving into the second phase: full RAG integration.
Sept 25, 2025
Sept 25, 2025

Designing the Embedding Engine: The Quiet Powerhouse Behind LLM4S

Built a robust OpenAI/VoyageAI embedding engine, complete with multi-format document extraction, chunking, and similarity scoring. This phase laid the foundation for retrieval, semantic search, and future RAG workflows in LLM4S. RAG integration.
October 18, 2025
October 18, 2025

Vector Database Integration with pgvector

Delivered DBx-Core, DBx-Mid, and DBx-Full, a complete pgvector-based retrieval stack for LLM4S. Added schema design, indexing, metadata filters, hybrid search, and a full retrieval engine that now drives RAG and agent memory systems.
November 01, 2025
November 01, 2025

Final Work Submission (GSoC 2025)

my progression through GSoC 2025 — from building the core embedding pipeline in July, to extending model support and multimedia extractors in August, and finally laying the foundation for DBx-Core and vector retrieval throughout September.