Available to hire
I am Rajnish Kumar, an AI/ML Engineer based in Guildford, United Kingdom, with hands-on experience in designing and deploying production-grade AI systems, including LLM-powered platforms, real-time data pipelines, and AI-driven optimization engines.
I specialise in ML, DL, NLP, CV, and RL, with strong fundamentals in statistics and mathematical modeling. I enjoy experimentation, prototyping, and end-to-end implementation, delivering innovative, high-impact AI solutions through collaboration and continuous learning.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Language
English
Fluent
Work Experience
AI Engineer at ADCASA
July 1, 2025 - November 7, 2025Engineered the Gemini AI Stream Endpoint and enhanced AdGPT with advanced AI/ML algorithms, enabling intelligent ad campaign optimization, natural language understanding, context-aware recommendations, real-time Google Ads reporting, automated media workflows, and AI-driven billing via Stripe Payments, Subscriptions, and Webhooks. Developed and deployed generative AI capabilities within AdGPT, including text generation with Gemini, the Veo-powered video generation pipeline (script-to-video ads with review/export), and the Imagen 3 & 4 image generation endpoints using Vertex AI, integrated with the Media Studio API for scalable ad creative production.
Data Science and Machine Learning Intern at TCIL
December 1, 2023 - December 1, 2023Developed a Movie Recommendation System using SVM and collaborative filtering, including a hybrid content and collaborative filtering approach, and built a Big Mart Sales Prediction model using Linear Regression, Random Forest, and XGBoost to forecast sales considering promotions, store type, and seasonal trends. Built a Fraud Detection pipeline using Random Forest, XGBoost, and Isolation Forest, handling imbalanced transaction data with SMOTE, enabling detection of anomalous activities for telecom and e-commerce datasets.
Data Analytics Executive at Sanjay Prahlad and Company
May 1, 2023 - May 1, 2023Delivered strategic insights by collecting, cleaning, and analyzing data from multiple sources (databases, spreadsheets, CSV), ensuring accuracy and compliance with regulatory standards. Built predictive models using ML techniques (regression, classification, clustering) to forecast sales, detect anomalies, and identify growth opportunities. Developed automated dashboards and reporting pipelines using Python, Excel, and Power BI, improving operational efficiency, streamlining decision-making, and enabling actionable insights for management. Applied advanced analytics to financial, sales, and operational datasets to monitor KPIs and support strategic planning.
Education
MSc in Artificial Intelligence at University of Surrey
January 11, 2030 - February 1, 2025MSc in Physics at IKGPTU
January 11, 2030 - October 1, 2019Qualifications
Industry Experience
Software & Internet, Media & Entertainment, Professional Services
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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