AI/ML Engineer - NLP & LLM Developer

Manisha Negi

Delhi, India • *****************@*****.*** • +91-991*******

LinkedIn: linkedin.com/in/manisha-negi-335424192

PROFESSIONAL SUMMARY

Data-driven AI/ML Developer with 4+ years of experience in Python, Generative AI, Machine Learning, Deep Learning, NLP, and automation. Skilled in building scalable data pipelines, web scraping systems, and LLM-based applications. Strong expertise in transforming unstructured data (PDFs, news articles, web content) into actionable insights. Proven ability to deliver end-to-end solutions using Python, SQL, and modern AI technologies.

SKILLS

Programming: Python, SQL, HTML

Frameworks & Tools: Django, Flask, Streamlit, LangChain, LangGraph Data & ML: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, TensorFlow, PyTorch AI / LLM: NLP, Large Language Models (LLMs), Text Processing, MCP, Retrieval-Augmented Generation (RAG) Web Scraping: BeautifulSoup, Selenium, API Integration Databases: MySQL, Oracle, MS SQL, MongoDB, Vector Databases Cloud & DevOps: AWS, Git, Linux

Other: Excel, Data Analysis, Automation

PROFESSIONAL EXPERIENCE

Prime Database Delhi, India

AI Engineer May 2026 – Present

1. NLP to SQL Chatbot

Objective: Built an intelligent chatbot to convert natural language queries into SQL queries, enabling non-technical users to access structured data independently.

● Implemented LLM-based prompt engineering to interpret user queries and dynamically generate optimized SQL queries for relational databases.

● Designed conversational flows to handle ambiguous queries, schema introspection, and multi-table joins. Tech Stack: Python, LLM, NLP, MySQL, Pandas, LangChain, RAG, Chatbot Impact: Improved query efficiency and reduced dependency on technical teams for data retrieval. Hindustan Times (NeoSoft Technologies) Gurgaon, India (Hybrid) Software Engineer March 2025 – May 2026

1. AI-Based Deal Extraction System (LLM + NLP)

Objective: Developed an AI-powered system to extract structured deal information from unstructured news articles and PDF documents, improving data accessibility and decision-making.

● Leveraged Large Language Models (LLMs) and NLP techniques to identify key entities such as company names, deal values, dates, and deal types from raw text data.

Tech Stack: Python, LLM (OpenAI), NLP, Pandas, Regex, PDF Processing, Crawl4AI Impact: Reduced manual data extraction effort and improved data accuracy through automated processing. 2. News Processing & Semantic Intelligence Pipeline Objective: Built an AI-powered end-to-end news processing pipeline for handling large-scale RSS feed data, transforming unstructured and noisy news content into structured, meaningful insights.

● Implemented data cleaning, normalization, and content extraction from dynamic web sources.

● Leveraged NLP techniques for information extraction and applied embedding-based semantic similarity to detect and remove duplicate news articles.

● Enabled automated categorization and improved overall data quality. Tech Stack: Python, NLP, Crawl4AI, MongoDB, Flask, Pandas, LangChain Impact: Automated end-to-end news processing pipeline, significantly reducing manual effort and improving data quality by filtering noisy and incomplete content.

India Today (Aaj Tak) Noida, India (Hybrid)

Python AI/ML Developer September 2024 – January 2025 1. News Channel Performance Prediction (Machine Learning) Objective: Developed a machine learning model to predict performance metrics of news channels using historical data.

● Performed data cleaning, feature engineering, and trained regression models to generate accurate predictions. Tech Stack: Python, Scikit-learn, Pandas, NumPy, Matplotlib, Excel Impact: Achieved an R score of 0.80+ and improved forecasting accuracy for business insights. 2. Web Scraping & Data Intelligence Dashboard

Objective: Designed an automated web scraping system to collect news articles and user engagement data from multiple media platforms, and visualized insights through interactive dashboards.

● Developed scalable scraping pipelines and integrated them with interactive dashboards for real-time analytics. Tech Stack: Python, Selenium, BeautifulSoup, Pandas, Streamlit, SQL, APIs Impact: Enabled real-time insights and reduced manual data collection time by 80%. INTRICS (Retail Data – US Based) Noida, India

Software Developer January 2023 – September 2024

1. Real-Time Data Web Services (Flask-based)

Objective: Developed lightweight web services to fetch and deliver real-time data from databases for enterprise applications.

● Designed RESTful APIs using Flask to ensure fast and reliable data communication between systems. Tech Stack: Python, Flask, Oracle

Impact: Enhanced system performance and reduced data retrieval latency by 30%. 2. Data Automation & Reporting

● Automated daily crawler reports using Python and SQL.

● Reduced manual effort and improved reporting accuracy significantly.

● Built pipelines for automatic database updates.

ConsultIT Technology Ltd Noida, India

Python Developer Intern November 2021 – January 2023 Key Contributions:

● Developed backend systems using Django and Flask.

● Integrated multiple APIs for enterprise dashboards.

● Built healthcare appointment backend systems.

● Created automated reporting tools with Python.

● Worked on image processing and data storage using OpenCV and AWS services. Healthcare Appointment Management System (RakshaTPA) Objective: Built backend services for a healthcare platform to manage doctor appointments, patient records, and scheduling workflows.

● Developed scalable APIs and database integration to support real-time booking and data management. Tech Stack: Python, Django, SQL

Impact: Improved system efficiency and enabled seamless appointment booking, enhancing the overall user experience. PERSONAL PROJECT

Legal AI Case Analysis & RAG Chatbot

Objective: Developed an intelligent Retrieval-Augmented Generation (RAG) system to analyze crime scene descriptions and map them to relevant Indian legal frameworks. Built a pipeline to automate the identification of crime categories and citation of specific legal provisions.

Tech Stack: Python, LangChain, Ollama (Llama 3), ChromaDB, HuggingFace Embeddings EDUCATION

Master of Science in Data Science Chandigarh University, Chandigarh July 2026 – Present Currently Pursuing

Bachelor of Science Delhi, India 2014 – 2019

Mathematical, Discrete Mathematics, Probability and Statistics Diploma in Electronics Engineering Delhi, India 2015 – 2018 Circuit Theory & Network Analysis, PCB Design & Circuit Implementation, Programming (C, Python) CERTIFICATIONS

● Data Analyst Certification – Udemy

● Data Science Certification – PW Skills

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