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Shubham Dikshit

@shubhamdikshit

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I am a software engineer specializing in ML and scalable backend systems.

India

Message

What I'm looking for

I seek a mid-level role combining machine learning and backend engineering to build scalable data pipelines and production ML services in collaborative, research-driven teams that value impact and technical growth.

I am pursuing a Doctor of Philosophy (PhD) (Computer Science Engineering) at Indian Institute of Technology, Mandi and hold a Bachelor in Technology (Computer Science Engineering) from Dr A.P.J. Abdul Kalam Technical University. I have built production backend services using Rust and Golang, implemented Redis-based caching and MariaDB optimizations, and worked with Kafka and MongoDB for real-time data ingestion.

I have delivered machine learning solutions including credit card fraud prediction with XGBoost (F1-score: 80%), an XAI sarcasm detection model (95% accuracy), and NLP systems using BERT and PyTorch. I secured top 10 percentile in GATE 2025 (Data Science and Artificial Intelligence) and won 1st position in an inter-college coding competition.

Experience

Work history, roles, and key accomplishments

Software Engineer

Rapidshyp

May 2024 - Oct 2024 (5 months)

Configured and deployed shipment, weight discrepancy, COD reconciliation, and PO reconciliation modules; built scalable backend services in Rust and Golang and optimized data processing with Redis and MariaDB.

Rust Golang Redis MariaDB Kafka MongoDB Backend Development UAT

Software Engineer

Rhombuz.io

Apr 2023 - Oct 2023 (6 months)

Built ML solutions including XGBoost fraud detection (F1: 80%) and PCA+logistic regression churn model (sensitivity 75%), automated 40% of SOC responses with BERT, and deployed Flask APIs on Azure.

XGBoost scikit learn BERT Python Flask Azure React SQL Pyspark

Software Engineer

Gigamon

Sep 2022 - Dec 2022 (3 months)

Analyzed survey responses and produced monthly sales and consumer-behavior reports to inform R&D and marketing strategies, contributing to improved sales insights and brand awareness.

Data Analysis SQL Python Reporting Market Research Dashboarding Sales Analytics

Researcher

Delhi Technological University

Jan 2021 - May 2021 (4 months)

Developed an XAI model for sarcasm detection achieving 95% accuracy on MUStARD and improved XGBoost performance by 5% using LIME and SHAP explainability techniques.

XGBoost LIME SHAP Python NLP Machine Learning

Summer Research Associate

National Dong Hwa University

Jul 2020 - Aug 2020 (1 month)

Implemented Seq2Seq translation models with attention in PyTorch for low-resource Indian languages, improving BLEU scores by ~10% for Tamil, Telugu, and Bengali and deploying the models.

PyTorch Machine Translation BLEU NLP Deep Learning

Summer Research Associate

International Institute of Information Technology

Jun 2019 - Jul 2019 (1 month)

Computed translation probabilities and applied Zipf's law to reduce corpora size by 50% without accuracy loss; built a custom parser for Hindi, Telugu, and Tamil achieving ~90% parsing accuracy.

Statistical NLP Zipf'S Law Machine Translation Python