Kartik Shirode
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Resume

Available for projects

I build ML systemsI build ML systems that ship.

LLM applicationsLLM applications, vision pipelines, predictive dashboards, full AI web apps at fixed rates. Production work across NLP, computer vision, and self-supervised learning, written so the next person can build on it.

Hire MeView Work
Kartik Shirode
0shipped projects
0research papers in progress
$0fixed-rate projects start at
0.00CGPA, B.Tech CS

Projects

Things I've built. What they do, what worked, what didn't.

Featured

CallQA

Evaluation-first support call intelligence: ASR, diarization, and event detection benchmarked on 60 calls with exact ground-truth labels.

Built with
  • Python
  • faster-whisper
  • pyannote
  • Streamlit
Case studyGitHub

Featured

IndicRAG Bench

Benchmark for Indian-language document RAG across Hindi, Marathi, Tamil, and Gujarati, from the scanned page through grounded answers.

Built with
  • Python
  • FAISS
  • BGE-M3
  • RAG
BlogGitHub

Featured

VL-JEPA

Vision-language model trained from scratch that reaches 50.3% image-to-text recall@1 on COCO, beating ViT-Tiny CLIP baselines.

Built with
  • PyTorch
  • Computer Vision
  • Multimodal
  • Python
BlogGitHub

Featured

U-JEPA

Continual-learning research on a JEPA core that picks up new tasks without forgetting the ones it already knows.

Built with
  • Python
  • PyTorch
  • Continual Learning
  • LLM
BlogGitHub

See all 15 projects →

Skills

The stack behind the work.

ML / AI
  • Python
  • PyTorch
  • TensorFlow
  • scikit-learn
  • HuggingFace
  • CatBoost
  • XGBoost
LLMs / NLP
  • Transformers
  • RAG pipelines
  • FAISS
  • Embeddings
  • LLM-as-judge
  • Fine-tuning
Speech / Audio
  • faster-whisper
  • pyannote
  • WER / DER evaluation
  • TTS pipelines
Computer Vision
  • Multimodal architectures
  • Deepfake detection
  • Object detection
  • ViT
Backend
  • FastAPI
  • Node.js
  • Java EE
  • REST APIs
Frontend
  • React
  • Next.js
Cloud / Infra
  • GCP
  • Firebase
  • Cloud Run
  • Docker
Blockchain
  • Hyperledger Besu
  • Solidity
  • IPFS
Data / Analytics
  • Power BI
  • Tableau
  • SQL
  • Pandas
  • NumPy

About

A Computer Science student building practical ML.

I design and ship end-to-end machine learning projects across NLP, computer vision, and supervised learning. The focus is on measurable outcomes, mathematical clarity, and code other people can actually pick up and build on. Based in Pune, India, I work with clients remotely at fixed rates.

I learn by building complete projects rather than reading about them. Most of what is on this site started as a problem I wanted to understand, ended as something deployed with real metrics, and left me with a clear answer to “what would I do differently next time.”

B.Tech in Computer Science at Savitribai Phule Pune University, CGPA 8.26, class of 2028.

Experience

What I'm working on right now.

Showing only the active roles. Full work history, with past internships and the rebrand from Rajni Tech to Code NexIn, lives on the experience page.

  1. Mar 2026 - Present

    ML & Research Developer

    MegaMinds IT Services

    Building production-leaning ML systems and applied-research prototypes for product work. Focus areas span NLP, computer vision, and deep learning.

    Tools
    • Python
    • Deep Learning
    • NLP
    • Computer Vision
    • Applied Research

See the full work history →

Contact

Drop a note.

Open to conversations about ML, data systems, and shipping real things. If it's role-specific, include the timeline and what you'd expect from me.

kartikshirode123@gmail.com

See the full contact page →