Rahul Sharma
Email: rahul.sharma.ai@gmail.com | Phone: +91-9876543210
LinkedIn: linkedin.com/in/rahulsharma-ai | GitHub: github.com/rahulsharma-ai
Location: Bangalore, India
SUMMARY
Results-driven AI/ML Engineer with 12+ years of experience in designing, developing, and
deploying AI-powered solutions, specializing in Generative AI, Large Language Models
(LLMs), and AI-driven search engines. Expertise in fine-tuning, Retrieval-Augmented
Generation (RAG), multi-modal AI, and productionizing AI systems. Proficient in cloud
platforms, vector databases, and real-time AI pipelines. Passionate about AI-driven innovation
and scalable architectures.
SKILLS & EXPERTISE
Generative AI & LLMs: OpenAI, Anthropic Claude, LLaMA, Mistral, Fine-tuning
(LLaMA, BART, T5)
NLP & ML: Transformers, Hugging Face, LangChain, Sentence Transformers, T5,
BART, GPT Models
Retrieval-Augmented Generation (RAG): FAISS, Pinecone, Weaviate, ChromaDB,
Milvus
AI Orchestration & Agents: LlamaIndex, LangChain Agents, AutoGPT, BabyAGI
Big Data & Streaming: Kafka, Apache Flink, Spark Streaming, Apache NiFi,
Databricks
Cloud & DevOps: AWS (S3, Lambda, SageMaker, Bedrock), Azure AI, GCP AI,
Kubernetes, Docker
Databases: MongoDB, PostgreSQL, Elasticsearch, Redis, Neo4j, Vector Search
(Pinecone, FAISS)
AI for Cybersecurity: Threat detection, AI-driven security analytics, anomaly detection
Visualization & Reporting: Tableau, Power BI, Streamlit, Dash
WORK EXPERIENCE
Lead AI Engineer | TCS (Tata Consultancy Services), Bangalore | Jan 2021 - Present
Architected and deployed RAG-based AI-powered Search Engine leveraging
LlamaIndex, FAISS, Pinecone, and LangChain to enhance document retrieval
accuracy.
Developed a Streaming LLM-based chatbot using OpenAI, LangChain, Kafka, and
MongoDB, optimizing real-time response generation for customer support.
Implemented AI-powered Financial Copilot integrating market analysis and fraud
detection using Kafka, Spark Streaming, and MongoDB.
Designed Multi-modal Generative AI solutions integrating text, images, and
documents for business intelligence and insights.
Led a fine-tuned BART/T5-based document summarization system, enhancing
enterprise knowledge extraction.
Senior AI/ML Engineer | Infosys, Hyderabad | Jul 2017 - Dec 2020
Developed a social media sentiment analysis pipeline using Apache Flink, Confluent
Kafka, and Elasticsearch for brand reputation monitoring.
Built a real-time fraud detection system leveraging Confluent Kafka, Spark
Streaming, and MongoDB to detect anomalies in financial transactions.
Created a customer behavior analytics solution integrating Kafka, NiFi, Spark, and
Tableau, providing actionable insights for e-commerce businesses.
Led the adoption of AI-powered cybersecurity threat detection using deep learning
models for log analysis and anomaly detection.
Machine Learning Engineer | Wipro, Pune | Jun 2012 - Jun 2017
Developed predictive analytics models for supply chain optimization using Hadoop,
Spark, and MongoDB.
Implemented AI-driven recommendation engines for e-commerce platforms using
collaborative filtering and deep learning-based models.
Designed AI-assisted personal assistant integrating LLMs, RAG, and multi-agent
workflows for enterprise productivity.
EDUCATION
M.Tech in Artificial Intelligence & Machine Learning
Indian Institute of Technology (IIT) Bombay | 2012
B.Tech in Computer Science & Engineering
National Institute of Technology (NIT) Trichy | 2010
CERTIFICATIONS
AWS Certified Machine Learning – Specialty
Google Professional Machine Learning Engineer
Microsoft Azure AI Engineer Associate
Generative AI Specialization – DeepLearning.AI
PROJECTS & RESEARCH
AI-powered Search Engine with RAG – Built a scalable multi-modal search system
using FAISS, Pinecone, and LangChain for document retrieval.
Finance AI Copilot – Developed an AI-driven assistant for real-time fraud detection
and market analysis, leveraging Kafka, Spark Streaming, and MongoDB.
AI for Cybersecurity – Implemented a threat detection system using deep learning-
based anomaly detection for cybersecurity applications.
Social Media Sentiment Analysis – Built a real-time NLP-based sentiment analysis
pipeline using Apache Flink, Kafka, and Elasticsearch.
Document Summarization System – Fine-tuned BART/T5 for summarizing large
documents and legal reports.
TOOLS & TECHNOLOGIES
Programming: Python, Scala, Java, SQL
ML/DL Frameworks: TensorFlow, PyTorch, Hugging Face Transformers
Big Data: Hadoop, Spark, Flink, Databricks
Cloud Services: AWS, Azure, GCP
Vector Databases: FAISS, Pinecone, Weaviate, ChromaDB
PUBLICATIONS & CONTRIBUTIONS
"Enhancing Retrieval-Augmented Generation with Vector Search" – Published
research on AI-driven search optimization.
Open-source contributions to LangChain, LlamaIndex, and Hugging Face
repositories.
Speaker at AI conferences on Generative AI, RAG, and Cybersecurity AI.
ACHIEVEMENTS
Received TCS Innovator Award for pioneering AI-powered search solutions.
Recognized as Top 10 AI Engineers in India (2024) by Analytics India Magazine.
Developed an AI-based assistant used by Fortune 500 companies for document
automation.
