Skip to content
View rahulkrbuilds's full-sized avatar

Highlights

  • Pro

Organizations

@dsciitbbs

Block or report rahulkrbuilds

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
rahulkrbuilds/README.md

Hi there, I'm Rahul Kumar πŸ‘‹

Sr. AI Engineer | Researcher | IIT Bhubaneswar Alum

I am a Data Scientist and AI Engineer with 5 years of experience bridging the gap between academic research and production-grade systems. My work spans healthcare and e-commerce, focusing on LLMs, RAG, and Ranking Systems.

  • πŸ“ Location: Bengaluru, India
  • πŸŽ“ Education: B.Tech (Hons) CSE, IIT Bhubaneswar (GPA: 9.28/10)
  • πŸ“« Contact: rahulkr31.01@gmail.com | LinkedIn

πŸ› οΈ Technical Arsenal

Languages: Python, C++, JavaScript AI/ML: LLMs (Llama, GPT), RAG, Deep RL, Computer Vision (U-Net), LangChain, HuggingFace Infrastructure: Docker, Kubernetes, AWS (Sagemaker, EC2), MLFlow, Vector DBs (Chroma, Mongo)


πŸš€ Select Your View

Click the arrows below to expand the section relevant to you.

πŸ‘¨β€πŸ’» For Engineering Managers (Industry Experience)

Current: Sr. AI Engineer @ Makro Pro

  • Revenue Impact: Optimized search/carousel models delivering 31% revenue uplift and 56% increase in basket adds.
  • GenAI at Scale: Led development of LLM-LightRanker, a multilingual reranking system reducing exposure bias by 42%.
  • Pipeline: Built anomaly detection pipelines identifying 300+ customer and 90+ product anomalies.

Previous: Sr. AI Engineer @ GE HealthCare

  • RAG Implementation: Designed a RAG + LLM stack for internal documentation, fine-tuning Llama-3 on 5k+ pairs to achieve 6x response efficiency.
  • Optimization: Delivered 50% improvement in DL Recon CT workflow throughput via GPU optimization.
πŸ”¬ For Admissions & Research (Academic Profile)

Research Focus: Deep Learning, NLP, Anomaly Detection, and Reinforcement Learning.

Key Publications (8+ Total, 400+ Citations)

  • πŸ“„ LLM-LightRanker: Multi-Objective Reranking via LLM Distillation (ACM RecSys '25)
  • πŸ“„ Automated Pericardium-Segmentation using Attention-based CNN (SPIE Medical Imaging '24)
  • πŸ“„ Robust Adaptive Cloud Intrusion Detection System (11th SPACE 2020)

Patents

  • Filed: A Lightweight, Language-Aware Phonetic BK-Tree for Multilingual Query Correction.
πŸ’‘ For Founders & Innovators (Startup Projects)

Entrepreneurial Experience

  • Founding Engineer, Vasitars Pvt. Ltd: Prototyped IoT LPG distribution systems; raised β‚Ή7 Lakhs in initial funding.
  • MoSahay Initiative: Built a web portal connecting migrant laborers with job seekers during critical shortages.

Awards & Honors

  • πŸ† Winner: Grand India IoT Innovation Challenge (2018)
  • πŸ† Gold Prize: Inter-IIT Techmeet (2019)
  • πŸ… Recipient: NRDC Budding Innovators Award (2019)

Popular repositories Loading

  1. ml-ocr-tool ml-ocr-tool Public

    Forked from ValYouW/ml-ocr-tool

    Inspired by Machine Learning course on coursera.org. A helper tool for generating ocr features for Machine Learning algos...

    C#

  2. MAIN MAIN Public

    Python

  3. notebooks notebooks Public

    Forked from nightawks/notebooks

    Notebooks for result analysis.

    Jupyter Notebook

  4. iitbbsnewsapi iitbbsnewsapi Public

    Forked from dsciitbbs/iitbbsnewsapi

    API for fetching content from www.iitbbs.ac.in

    Python

  5. Intrusion-detection-system Intrusion-detection-system Public

    Forked from nishantprajapati123/Intrusion-detection-system

    Context-adaptive Intrusion Detection System using Reinforcement Learning

    Jupyter Notebook

  6. Source-Code-from-Tutorials Source-Code-from-Tutorials Public

    Forked from buckyroberts/Source-Code-from-Tutorials

    Here is the source code from all of my tutorials.

    Python