About Me!
I'm Rajkanwar Singh, a Machine Learning Engineer at Neuralix with a background in Computer Science and Engineering from Vellore Institute of Technology (VIT-AP), where I specialized in Data Analytics.
My work focuses on developing and optimizing ML systems for real-time inference, threat detection, and model evaluation. I’ve worked on projects involving classification, regression, model explainability, fairness, pruning, and robustness. I’m particularly interested in building scalable, production-ready pipelines with a strong emphasis on performance and interpretability.
My technical toolkit includes Python, and YAML, with growing experience in cloud infrastructure, big data engineering, and supporting proposal development for data science initiatives.
Previously, I interned at IIT Kharagpur, where I worked in the domain of IP strategy. That experience, combined with my academic background, shaped my interest in the intersection of AI, software engineering, and strategic tech application.
Technologies & Tools
Programming Languages
Python
IntermediateR
IntermediateJava
IntermediateC
BasicMachine Learning & Data Analysis
Kafka
IntermediateFlink
IntermediateNumpy
IntermediatePandas
IntermediateTensorFlow
IntermediatePyTorch
Intermediatescikit-learn
IntermediatePlotly
IntermediateMisc
FastAPI
IntermediateReact
BasicHTML
IntermediateCSS
BasicMySQL
IntermediateDocker
IntermediateAWS
BasicGit
BasicIoT
Home Assistant
IntermediateCloudflare
IntermediateArduino
BasicESPHome
BasicRecent Works
Streamlined Data Pipeline for Real-Time Threat Detection and Model Inference
Read here
Conference: 2025 17th International Conference on COMmunication Systems and NETworks (COMSNETS)
DOI: 10.1109/COMSNETS63942.2025.10885573
AURA: Adaptive Unified Real-Time Analytics for IoT Intrusion Detection
Read here
Conference: 2024 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)
DOI: 10.1109/ANTS63515.2024.10898580
KNOXRT: Knowledge-Networked Optimization for eXploratory Real-time Training
Read here
Conference: 2024 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)
DOI: 10.1109/ANTS63515.2024.10898195
Google Cloud Computing Foundations
Indian Institute of Technology Kharagpur & NPTEL
Topper 5% & Silver Medal
Responsible & Safe AI Systems
International Institute of Information Technology, Hyderabad & NPTEL
Silver Medal
Exploring the Potential and Challenges of ChatGPT in E-Commerce Applications: A Comprehensive Review
Read here
In book: Real-Time Data Decisions With AI and ChatGPT Techniques
IGI Global
DOI: 10.4018/979-8-3693-2284-0.ch007
Inflation's Impact on the Investment Strategies of Scheduled Commercial Banks A Regression Analysis
Read here
IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT
Campus Winners in TELIPORT by Tata Elxsi
Presented a novel solution to handle off-roading challenges for commercial vehicles. Qualified to top 40 teams with 81 participant institutes with multiple teams and campus winners of VIT.
Team ACRUX
Navigating the Technological Landscape: Addressing Challenges in Sustainable Business Practices
Read here
International e-Conference on Challenges and Prospects in Sustainable Business Development
Statistics and Machine Learning based Decision-Making for Diet Beverage Choice and Recommendation through Software Application
Read here
Journal of Advanced Research in Applied Sciences and Engineering Technology
DOI: 10.37934/araset.57.2.2840
Finalist in HACK-23 International Hackathon for Sustainable Innovation
4th Annual Virtual Business Plan Competition by The American University in Cairo, School of Business, Center for Entrepreneurship and Innovation (CEI), together with Etisalat Misr and EBank
Team VFC
Machine Learning
Boston Training Academy powered by Intel® Software
92/100
Reinforcement Learning Approach in Supply Chain Management: A Review
Read here
Modern Trends in Machine Learning: Issues and Challenges
SCRIVENER PUBLISHING
DOI: 10.1002/9781394214167.ch17
Early Stage Diabetes PredictionI
A novel web-based solution that capitalizes on the power of the Random Forest algorithm for the early detection of diabetes. This ensemble learning technique combines multiple models, thereby enhancing overall performance. Real-time applicability of the model is facilitated through FastAPI, a user-friendly web framework that promotes seamless interaction and prompt prediction retrieval.
Demo in inCode 2023 — Challenging injustice
TransitLink, a revolutionary travel solution designed to simplify navigation for commuters and travelers. To provide seamless integration of public and private transportation options, making it effortless to plan and execute journeys by combining automated trip planning, intelligent suggestions, and hassle-free payment integration.
Team ACRUX
3rd Position in VLaunchPad Annual National Business Plan Competition for Agritech innovation
Issued by VIT-AP School of Business (VSB) in collaboration with VIT-AP Technology Business Incubation Foundation (VTBIF) and Institute's Innovation Council (IC).
Team VFC
Entrepreneurship and IP Strategy
Indian Institute of Technology Kharagpur & NPTEL
Topper 5% & Gold Medal
Supply Chain Greenhouse Gas Emission Factors
EDA on dataset: Supply Chain Greenhouse Gas Emission Factors v1.2 by NAICS-6
Principles of Management
Indian Institute of Technology Roorkee & NPTEL
Silver Medal
Innovation by Design
Indian Institute of Technology Bombay & NPTEL
Silver Medal
2014 Endorsed Budget - Expenditure Allowance by Budget Control Level (BCL)
EDA on dataset: 2014 Endorsed Budget - Expenditure Allowance by Budget Control Level (BCL)
Certified Hyperledger Developer
Aligned to Competency Standards developed by IT-ITeS Sector Skills Council NASSCOM in collaboration with Industry and approved by Government.
Silver Category(69/100)
C2 Proficient
The achieved English level is 82/100 on the EF SET score scale and C2 Proficient according to the Common European Framework of Reference (CEFR).
Listening C2 Proficient(76/100)
Reading C2 Proficient(88/100)
My Badges