Khimraj Suthar
Email: khimrajsuthar@gmail.com
Website | LinkedIn | GitHub | Google Scholar | Resume
Experience
Software Engineer, LLM
Remote
Webb.ai
December 2023 – Present
- Focusing on advancing the automation of troubleshooting processes for DevOps/SRE issues in cloud environments, leveraging expertise in deploying and optimizing LLM agents and RAG systems.
- Fine tuning LLMs to improve function call relevance, increasing accuracy from 78% to 89%.
- Reducing DevOps/SRE debugging time by 60% and cost by 50% through enhanced root cause analysis, recommendation steps, and incident resolution.
Software Engineer, Machine Learning
Bengaluru, India
Ivy Homes
June 2021 - November 2023
- Steered the development of OCR, Entity Extraction, Document Classification, Text Clustering, internal Dashboards, Pricing/Valuation Model, and Liquidity Model.
- Achieved a significant reduction in property valuation model prediction error from 15% to 8% MdAPE.
- Built a LLM powered chatbot for real estate, automating responses for 90% of user queries when the support team is offline, improving customer support coverage.
- Implemented robust data pipelines and deployed the pricing model using Django, incorporated a VPN layer to secure internal dashboards access and protect sensitive data.
Machine Learning Intern
Remote
Skillbee
April 2021 – June 2021
- Created solutions for Job Recommendation and Relevance challenges.
- Worked on Deep Learning-based document classification which improved the CV relevance on the platform from 65% to 93%.
Software Development Engineer Intern
Remote
Amazon
May 2020 – July 2020
- Designed, developed, and deployed a responsive lender runbook website for Amazon Pay Later Service on AWS, reducing standard partner materials’ preparation and exchange time by 80%.
- Won a 3-day hackathon with 30+ participants, and secured a full-time job offer.
Publications
- Human Activity Recognition using Accelerometer and Gyroscope Data from Smartphones: Khimraj, P. K. Shukla, A. Vijayvargiya and R. Kumar, ”Human Activity Recognition using Accelerometer and Gyroscope Data from Smartphones” 2020 International Conference on Emerging Trends in Communication, Control and Computing (ICONC3), India, 2020.
- Voting-based 1D CNN model for human lower limb activity recognition using sEMG signal: Vijayvargiya A, Khimraj, Kumar R, Dey N. Voting-based 1D CNN model for human lower limb activity recognition using sEMG signal. Phys Eng Sci Med. 2021 Nov 8.
Projects
LLM Multi-Agent based Stock Selection and Price Prediction Model
- Established a model for the India and US markets with daily, weekly, and monthly stock price predictions, including prediction confidence scores.
- Outperformed market index by 3% using fundamental, historical price, and news data.
Indoor Localization For 5g And Beyond(BTech Thesis Group Project)
- Proposed a novel MOIL deep learning approach for indoor localization using CSI data.
- The localization accuracy in the metric of mean distance error is within 0.01m in LOS and 0.02m in the NLOS scenario, which is 96% more precise than existing techniques.
Automated Tweets Report
- Developed a Python script for keyword-based tweet collection, sentiment analysis, and Excel report generation.
- Deployed the solution on AWS EC2 for daily scheduled executions with automatic email delivery using cron jobs.
Education
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Malaviya National Institute of Technology (MNIT)
Jaipur, India
Bachelor of Technology - Computer Science and Engineering
CGPA - 7.70/10
August 2017 - June 2021
Skills
- Proficient: Python, SQL, Algorithms, Data Science, EDA, AI, Machine Learning, Deep Learning, NLP, Generative AI, LLM, LangChain, RAG, Computer Vision, AWS, GCP, Tenserflow, Keras, Scikit-Learn, Numpy, Pandas, Matplotlib, MLOps, Vector DB, XGBoost
- Familiar: C, C++, HTML, CSS, Java, JavaScript, Bootstrap, JQuery, GitHub, Information Retrieval, CI/CD
Coursework
- Undergraduate: Design and Analysis of Algorithms, Data Structures and Algorithms, Database Management System Operating System, Computer Networks, Digital Image Processing, Natural Language Processing, Object-Oriented Analysis and Design, Deep Learning, Advanced Topics in Databases, Concurrent and Parallel Programming, Software Engineering
- Additional: Machine Learning, Mathematics for ML, Deep Learning Specialization, TensorFlow in Practice Specialization, Machine Learning in Production, Generative AI with Large Language Models, Trading Basics, Trading Algorithms, Advanced Trading Algorithms, Creating a Portfolio, Machine Learning for Trading Specialization