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Professional Experience

Dailoqa

AI/ML Engineer
Apr 2025 – present | Noida, India
  • •Designed an Advanced Graph RAG pipeline combining Neo4j-backed graph search, vector-embedding semantic search and BM25 keyword search to boost answer relevance by 40% and reduce average retrieval latency by 50%.
  • •Designed and deployed scalable RESTful APIs with FastAPI, Docker, and Azure cloud, with 99.9% uptime and reducing deployment time by 40%.
  • •Utilized the Ragas framework and LangSmith to evaluate and optimize the RAG system, enhancing retrieval precision and answer quality by 20%.

    • Troopr Labs

    AI Engineer
    Jul 2024 – Dec 2024 | Texas, Remote
  • •Built a Helpdesk Assessment Feature, generating detailed CRM reports (Jira, Salesforce) by categorizing 5M+ tickets into topic-based groups for streamlined queries.
  • •Automated knowledge article creation from cases, training AI Agents to cut LLM token costs and boost query resolution efficiency by 30%.
  • •Reduced customer query times using AI-trained knowledge articles, improving response accuracy by 20% and lowering costs.
  • •Designed Multi-AI Agent workflows with LangGraph, enhancing collaboration and workflow efficiency by 25%

    • Opsight AI

    AI/ML Intern
    Jan 2024 – Jun 2024 | New Delhi, India
  • •Built a Retrieval-Augmented Generation (RAG) system, slashing info retrieval time from 10-15 mins to <1 min, boosting efficiency by 90%.
  • •Led Elite Robots’ EC series arm project, collecting 100GB+ data and integrating InfluxDB with 50+ tags for real-time monitoring and Python-based parameter control.
  • •Fine-tuned LLMs for domain-specific datasets, enhancing model performance.

    • National Institute of Technology Trichy (NIT Trichy)

    Summer Intern
    May 2023 – Jul 2023 | Trichy, Remote
  • •Conducted 6+ months of network lateral movement research, identifying and mitigating threats, and publishing actionable insights.
  • •Explored advanced cybersecurity techniques (cyber deception, anomaly detection) using machine learning, reducing false positives by 15% and improving incident response efficiency.
    • Education

    Oriental Institute of Science and Technology

    2020 – 2024 | Bhopal

    Bachelor of Technology (B.Tech) - Computer Science and Engineering - (Data Science) GPA-8.65

    Projects
  • •Created a Python library for data scientists, speeding up ML model selection and evaluation by 25%.
  • •Published on PyPI, achieving 1,000+ downloads with seamless pip install integration.

    • AI Assess

    Python, Streamlit, FastAPI, OpenAI, LangChain, PyPDF2
  • •Developed an AI tool for educators, generating 10+ customizable MCQs/subjective questions from PDFs or keywords with adjustable difficulty.
  • •Built a FastAPI backend and Streamlit frontend, automating answer evaluation for 30% faster query resolution and real-time scoring.
  • •Improved evaluation accuracy by 20% with robust normalization for inconsistent inputs.
  • •Engineered a Retrieval-Augmented Generation (RAG) system with a fine-tuned LLM, integrating hybrid search (vector embeddings + BM25 keyword search) to boost query relevance by 35% and cut retrieval time by 50%.
  • •Optimized retrieval with semantic chunking, multi-query expansion, and cross-encoder reranking, improving context precision by 40% for complex queries.
  • •Deployed a FastAPI REST interface with dynamic caching and load balancing, enhancing cross-platform accessibility by 80% and ensuring scalability.
    • Publications (50+ Citations)
    Skills
    Programming: Python, Java, Cypher Query Language, SQL
    AI/ML: LangGraph, PyTorch, Agentic AI, HuggingFace, NLP, Generative AI, LLMs, Azure AI Foundry
    Tools: Azure Cloud, Git/GitHub/Gitlab, Docker, Linux, SQLite, Neo4j, FastAPI, Streamlit, RAGAS, Graph Databases, Vector Databases, ChromaDB, Pinecone, Postman
    Libraries: Streamlit, Llama-Index, Pandas, NLTK, PyPDF2, PyMuPDF, Crew AI, scikit-learn, FastAPI
    Certificates