Rajat Gupta

AI Researcher

Noida, Uttar Pradesh, India6 yrs 9 mos experience

AI EnabledHighly Stable

Key Highlights

Expert in building scalable ML models and AI systems.
Proven track record in NLP and Generative AI projects.
Strong background in e-commerce and personalization solutions.

Stackforce AI infers this person is a Machine Learning Engineer specializing in AI solutions for e-commerce and SaaS industries.

Contact

rajat.hbtu@gmail.com LinkedIn

Skills

Core Skills

Machine LearningNlpGenerative Ai

Other Skills

AWSAlgorithmsAndroidAndroid DevelopmentAndroid StudioArtificial IntelligenceBERTCCode ReviewCollaborative modelsComputer VisionData ScienceData StructuresDeep LearningDjango

About

As a Machine Learning Engineer with 6+ years of experience, I specialize in building intelligent systems that solve real-world problems using AI, deep learning, and data-driven automation. My work spans across NLP, computer vision, recommendation engines, fraud detection, and now Generative AI and Agentic AI workflows. I’ve designed and deployed scalable ML models in production environments—ranging from traditional supervised learning to Transformer-based LLMs and diffusion models. I enjoy bridging engineering and research to bring modern AI solutions to life using tools like Hugging Face, LangChain, TensorFlow, and PyTorch. What I Bring: - Real-world experience with LLM fine-tuning (LoRA, PEFT), RAG pipelines, and generative models - Building AI-powered features across e-commerce, personalization, and community platforms - Integrating AI into product ecosystems using FastAPI, Docker, and MLOps workflows I’m a continuous learner who thrives in fast-paced, collaborative environments. Whether it's experimenting with LangGraph agents or improving model latency on edge devices, I’m always excited by impactful problems. Let’s connect if you’re building something that blends intelligence, scale, and impact. Core Skills: - Machine Learning | Deep Learning (CNN, RNN, Transformers) - NLP | Generative AI | Prompt Engineering | RAG - LangChain | Hugging Face | OpenAI APIs - MLOps | FastAPI | MLflow | Docker | AWS | GCP - Model Fine-tuning (LoRA, PEFT) | Data Science | Visualization 📧 Email: rajat.hbtu@gmail.com 📱 Phone: +91 800 492 0005

Experience

Stand 8 technology consulting

Senior AI Engineer

Nov 2025 – Present · 4 mos · United States · Remote

Healofy

Senior Machine Learning Engineer

May 2022 – Nov 2025 · 3 yrs 6 mos · Bengaluru, Karnataka, India · Remote

Developed and deployed an NLP-based community moderation system using BERT and topic modeling
(LDA), automating 90% of moderation efforts.
Fine-tuned DistilBERT using HuggingFace Transformers on 1M+ user messages to improve classification accuracy by 28%.
Built a product recommendation engine (collaborative + hybrid models), leading to a 22% uplift in CTR and 15% in conversion rate.
Integrated payment fraud detection pipeline using XGBoost + SHAP explanations, reducing fraud rate by 30% while maintaining recall >92%.
Contributed to a scalable GenAI-based customer support prototype using Retrieval-Augmented Generation (RAG) with LangChain + OpenAI.

NLPBERTHuggingFace TransformersXGBoostSHAPLangChain+2

Makemytrip

Senior Machine Learning Engineer

Jul 2019 – May 2022 · 2 yrs 10 mos · Gurugram, Haryana, India · On-site

Led the end-to-end development of the Lumos Engine, an advanced ML-powered personalization system that dynamically tailored homepage content based on user interaction data, significantly boosting user engagement.
Architected and built a high-impact cross-sell recommendation engine, optimizing product suggestions with machine learning algorithms to increase transactional revenue.
Developed and implemented an NLP-driven spam detection model for the Q&A-based TravelFeed platform, ensuring high-quality, real-time travel assistance.
Engineered a dynamic loyalty program that leveraged machine learning to analyze user spending patterns and deliver personalized rewards.

NLPMachine LearningPersonalizationRecommendation Systems

Zomato

Software Engineer Intern

May 2019 – May 2019 · 0 mo · Gurgaon, Haryana, India · On-site

Helped develop key features for the delivery Rider App, including order history tracking and earnings
dashboards for better performance visibility.
Improved the login and onboarding experience by streamlining the process and adding multilingual support for regional delivery agents.
Created tools for historical order data analysis, allowing team leads to filter and evaluate delivery efficiency over time.

Goibibo

Software Developer Intern

May 2018 – Aug 2018 · 3 mos · Gurgaon, Haryana, India · On-site

Contributed to performance improvements by reducing app launch time through backend optimization and asset loading strategies.
Implemented support for deep linking using Branch SDK, enabling marketing and campaign-specific
navigation flows.
Optimized IRCTC ticket booking flow by redesigning validation checks and adding caching layers to
minimize external API calls and reduce latency.