Rakesh Rajpurohit
Verified Expert in Engineering
AI and Data Science Developer
Bengaluru, Karnataka, India
Toptal member since September 8, 2025
Rakesh is a seasoned AI and data science professional with 11+ years of experience building generative AI and LLM-powered solutions. An expert in machine learning, NLP, deep learning, and AI engineering, he leads projects that transform complex data into actionable insights. Known for deploying scalable AI systems and GenAI solutions, Rakesh drives innovation and measurable business impact across teams.
Portfolio
Experience
- Python - 12 years
- Natural Language Processing (NLP) - 7 years
- Artificial Intelligence (AI) - 7 years
- Recommendation Systems - 7 years
- Neural Networks - 7 years
- Large Language Models (LLMs) - 3 years
- Retrieval-augmented Generation (RAG) - 3 years
- Prompt Engineering - 3 years
Preferred Environment
Python, Hugging Face, Large Language Models (LLMs), LangGraph, OpenAI, Flask, PyTorch, Scikit-learn, Retrieval-augmented Generation (RAG), Fine-tuning
The most amazing...
...project I've led was the development of an AI-powered shopping assistant that delivers recommendations, enhances user experience, and drives engagement.
Work Experience
NLP/AI Specialist
Bosch
- Spearheaded the development of a context-aware semantic search engine by integrating LLMs, RAG pipelines, and knowledge graphs, enhancing enterprise search accuracy and knowledge discovery.
- Led the creation of AI-powered assistants, including support and manufacturing assistants, leveraging NLP, deep learning, and LLMs to streamline operations and improve user engagement.
- Extended work on free text code search, analyzed requirement docs for code completion, and performed program execution-based fault tolerance (PEFT) for projects like Open LLM, AzureOpenAI, and GitHub Copilot (more info at arxiv.org/abs/2310.16673).
- Directed the research and development of an AI-powered shopping assistant combining knowledge graphs and LLMs for a context-aware semantic search tool for Bosch.
Senior Data Scientist
omuni.com - Shiprocket
- Led a 4-member data science team to build a hybrid recommendation engine for omnichannel fashion retail, integrating online and offline purchase data to enhance personalization across multiple brands.
- Designed and deployed personalized API services delivering customer profile–based recommendations and advanced product filtering, improving digital shopping experiences and engagement.
- Built and implemented a demand forecasting model for fashion styles, enabling accurate inventory planning and merchandising decisions that reduced stockouts and excess inventory.
- Developed a market mix model for Omuni and a major FMCG client, driving a 20% uplift in online sales through recommendations and a 40% boost in sales via marketing mix optimization.
Senior Data Scientist
Center for Study of Science, Technology and Policy (CSTEP)
- Developed machine learning (ML)-based analytical tools to support evidence-driven policy recommendations for Indian government bodies and NGOs, enabling data-informed decision-making at scale.
- Built AI/ML models for public policy impact modeling, energy analytics, and socio-economic simulations, improving the accuracy of research insights and policy planning.
- Engineered AI for Nutrition software to detect child health conditions, supporting early identification of malnutrition risks and enabling timely interventions.
- Collaborated with multidisciplinary teams to translate complex research into actionable tools, strengthening CSTEP’s role in policy advocacy and development programs.
Experience
AI-powered Shopping Assistant
I managed a team of six engineers to build an intelligent shopping assistant leveraging LLMs, knowledge graphs, and LangGraph, driving a 30% increase in engagement, 20% growth in sales, and 25% improvement in user retention. I also developed a LangGraph-based multi-stage recommendation and support system integrating LangChain and LLMOps, enabling complex product consultancy and personalized assistance across omni-channel retail.
Additionally, I implemented vision-language-action (VLAM) workflows, combining vision-language models with LangChain agents to deliver image-based personalized interactions and product recommendations.
I architected end-to-end AI modules, including data enrichment pipelines, AI consultants, and connected product ecosystems, using generative AI, RAG, Flask, Python, and cloud platforms such as GCP and Azure. My contributions ensured scalable, high-performance AI solutions that enhanced customer experience and operational efficiency.
Conversational Commerce Platform for Personalized Retail
Key features included a multi-turn dialogue system for guided product discovery, integration of vision-language models for image-based queries, and real-time product search using semantic and keyword-based retrieval. I also developed a recommendation engine using user behavior data and product knowledge graphs, significantly improving conversion rates and customer engagement.
I oversaw end-to-end architecture, including back-end services in Python and Flask, deployed on GCP with integrated Langfuse observability and LangGraph orchestration. The platform drove a 30% increase in engagement and helped streamline omnichannel retail support through an agentic AI system that could understand, reason, and act based on user intent.
Education
Master's Degree in Computer Science
International Institute of Information Technology, Bangalore - Bengaluru, Karnataka, India
Certifications
Generative AI with Large Language Models
Coursera
Deep Learning
Coursera
Skills
Libraries/APIs
PyTorch, TensorFlow, Scikit-learn, Keras, Azure Cognitive Services
Tools
Jira, Dialogflow, Azure OpenAI Service
Languages
Python, SQL
Frameworks
LangGraph, Flask, Agentic Frameworks
Platforms
Docker, Azure, Langfuse, Kubernetes, Google Cloud Platform (GCP)
Storage
Data Pipelines
Other
Large Language Models (LLMs), Retrieval-augmented Generation (RAG), Fine-tuning, Data Science, Machine Learning, Natural Language Processing (NLP), Recommendation Systems, Prompt Engineering, Artificial Intelligence (AI), AI Chatbots, Generative Artificial Intelligence (GenAI), Agentic AI, Chatbots, Conversational AI, Natural Language Search, Hugging Face, OpenAI, Data Analysis, Software Engineering, Statistics, Algorithms, Search Engines, Deep Learning, Neural Networks, Convolutional Neural Networks (CNNs), Sequence Models, OpenAI GPT-4 API, LoRa, FastAPI, AI Voice Agents, Computer Vision, Demand Forecasting, AI Model Training, LangChain, APIs, System Design
How to Work with Toptal
Toptal matches you directly with global industry experts from our network in hours—not weeks or months.
Share your needs
Choose your talent
Start your risk-free talent trial
Top talent is in high demand.
Start hiring