D

Divyankk Singh

Associate Consultant

Boston, Massachusetts, United States2 yrs 9 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Developed a mobile app for explosive detection post-Pulwama attack.
  • Created scalable AI solutions improving customer satisfaction.
  • Crafted novel solutions for low-resource languages.
Stackforce AI infers this person is a Data Scientist with expertise in AI-driven solutions and Natural Language Processing.

Contact

Skills

Core Skills

Document ExtractionAmazon Web Services (aws)Audio Signal ProcessingGenerative AiRetrieval-augmented Generation (rag)Machine LearningData VisualizationText ClassificationChatbot DevelopmentNatural Language Processing (nlp)Android Development

Other Skills

AI AgentsAWS BedRockAnthropic ClaudeApache AirflowChain of ThoughtContainerizationContinuous Integration and Continuous Delivery (CI/CD)Data ManipulationData ModelingData WranglingDeep LearningDiffusion ModelsDockerElasticsearchFastAPI

About

Innovation and impact have always been at the heart of my aspirations. With a BE in Computer Science and as a MS student in Artificial Intelligence, I am driven by the challenge of solving real-world problems using technology and research. My journey began at the Indian Institute of Technology, where, following the Pulwama attack, I developed a mobile app to identify explosives. I continued on this path by collaborating on a research paper during the COVID-19 pandemic. Motivated by the disruption of medical facilities I developed an approach to forecast the spread of infections using mathematical modelling. In my 2 years as a Data Scientist, I've designed and implemented scalable AI solutions using AWS services and LLMs for startups that not only solve complex business problems but also improve customer satisfaction. As a freelancer, I've crafted novel solutions for low-resource languages using state-of-the-art Machine Learning architectures and algorithms. Every project, big or small, has deepened my passion for blending creativity with precision to make a tangible impact. My academic and professional experiences have taught me the following about myself - I am adaptable, embrace challenges, and see obstacles as an opportunity to grow. I overcame the challenge of winning a Computer Vision Hackathon without any prior experience in the domain - I approach problems systematically and solved complex business issues for a footwear client by breaking it into subproblems, performing analysis, and maintaining a customer-centric thinking - I thrive on learning and keep learning new tools and technologies to prepare myself to navigate the continuously evolving AI landscape - I value purpose and focus on delivering high-quality results regardless of adversity As a graduate student in the United States my goal is to contribute to advancements in the AI landscape to make a difference. Let's connect if you share the same enthusiasm for innovation and impact. Please feel free to reach out via LinkedIn or email at singh.divya@northeastern.edu Professional Skills Python | Java | C++ | JavaScript | SQL | MongoDB | Jupyter | Numpy | Pandas | PySpark | Tableau | Matplotlib | Seaborn | Logistic Regression | PyTorch | spaCy | Hugging Face | LangChain | Docker | FastAPI | Git | Linux | Domain Knowledge Agentic AI | Natural Language Processing | Retrieval Augment Generation | Large Language Model | Fine-Tuning | RAG Optimisation | Amazon Web Services | Machine Learning | Recommendation Systems | Data Visualisation | LLM Knowledge OpenAI | BERT | GPT | Llama | Gemini

Experience

2 yrs 9 mos
Total Experience
8 mos
Average Tenure
9 mos
Current Experience

Northeastern university college of engineering

Graduate Teaching Assistant

Sep 2025Present · 9 mos · Boston, Massachusetts, United States · On-site

Google Cloud Platform (GCP)Apache AirflowKubernetesDockerFlaskMLOps+3

Fox corporation

AI Software Developer

Jun 2025Aug 2025 · 2 mos · Tempe, Arizona, United States · On-site

  • Designed custom approach to automate the data extraction by string matching, pattern recognition, and data manipulation
  • Performed cutting edge research on Music Information Retrieval and Signal Processing to generate keywords for a song using LLM
  • Independently responsible for documentation and maintaining versions of the code
  • Explained technical and business concepts to non-technical stakeholders by presentations
Document ExtractionAmazon Web Services (AWS)PandasAudio Signal ProcessingPython (Programming Language)Data Modeling+3

Northeastern university college of engineering

Graduate Teaching Assistant

Jan 2025Apr 2025 · 3 mos · Boston, Massachusetts, United States · On-site

  • Course: IE 7374 - Generative AI
  • Professor: Ramin Mohammadi
  • Teaching activities
  • Mentored 30 students on creative generative applications to solve business problems using Generative Adversial Networks, BERT, and GPT
  • Graded assignments and labs as per academic standards and course learning objectives
  • Created hands-on tutorials to familiarise students on information retrieval and generating contextually relevant responses using LlamaIndex and Ollama
  • Chatbot development contributions
  • Objective: develop an agentic AI chat application to answer student queries from the course
  • Technical stack: LangChain, LangGraph, Llama3b, Redis, Pinecone, FastAPI
  • Responsibilities:
  • ideated the entire Retrieval-Augmented Generation workflow; components included guard rails, information retrieval, and evaluation on standard RAGAS metrics
  • conducted comparative analysis of available development tools for application creation, documented their specifications and associated costs
  • implemented caching and chat history features to enhance performance
AI AgentsDiffusion ModelsRetrieval-Augmented Generation (RAG)langchainTensorFlowGenerative AI+9

Khoury college of computer sciences

Volunteer Research Assistant

Oct 2024Mar 2025 · 5 mos · Boston, Massachusetts, United States · On-site

  • Project1: Partisanship Classification of newspaper issues
  • Mentor: Prof. David Smith
  • Performed data wrangling and modelling in PySpark for text mining and feature extraction
  • Trained multi class Logistic Regression classifier with 70% accuracy
  • Designed custom approach to rank strongly partisan paragraphs at series and issue level
  • Visualised shift in Partisanship at series and issue level by histograms in Seaborn and Matplotlib
PySparkSQLMachine LearningData VisualizationResearchText Mining+4

Freelance

AI Programmer

Mar 2024Apr 2024 · 1 mo · Remote

  • Project1: Text classification of a low resource language
  • Applied cutting-edge research and developed novel text classification approach for a dialect of the Hindi language with 90% precision
  • Performed text mining, feature extraction using vectoriser and LSTM, topic modelling, and applied supervised Machine Learning algorithms
  • Received "best research" testimony from client
  • Project2: Use LLMs to filter jobs from a Data Warehouse based on a complex Natural Language Query
  • Compared results of GPT, Gemini, and Mistral for extracting key-value pairs from user query using few-shot prompts
  • Created 70% accurate custom information retrieval approach using Pandas and contextual similarity
Prompt EngineeringRetrieval-Augmented Generation (RAG)LlamaIndexGenerative AIPandasResearch+10

Celebal technologies

Data Scientist

Sep 2023Dec 2023 · 3 mos · Jaipur, Rajasthan, India · On-site

  • Integrated OpenAI and Azure services with LangChain to create RAG applications for the hospitality sector
  • Vectorized and ingested structured chunks from OCR extracted semi structured text and web-scrapped content using Scrapy into Qdrant
  • Created scalable RestAPIs using FastAPI
Prompt EngineeringRetrieval-Augmented Generation (RAG)LlamaIndexGenerative AIChatbot DevelopmentFastAPI+9

Crossml pvt ltd

Associate Data Scientist

Aug 2022Aug 2023 · 1 yr · Chandigarh, India · On-site

  • OpenAI projects:
  • 1. Customer support chatbot for Archies footwear
  • Pre processed and vectorised raw data to ingest in Redis
  • Applied cutting edge research on LLM parameters and performed Prompt Engineering
  • Increased customer satisfaction by saving 200K AUD
  • 2. ChatGPT API integration for analytics platform
  • Applied methodological problem skill to break a complex problem into smaller tasks
  • Engineered few-shot prompts for sentiment analysis using LangChain agents
  • Created advanced SQL queries to retrieve data from Google BigQuery based on sentiments
  • Developed scalable RestAPIs using FastAPI to visualise all data points on a map
  • Other projects:
  • 1. Score each section of a resume against a job description
  • Implemented complex data structures, applied string matching algorithms, and cutting-edge NLP techniques using Spacy
  • Developed an approach to score the location section based on geographic distances
  • 2. Optical Character Recognition (OCR)
  • Completed POC on performing OCR of semi-structured, multi column documents using AWS Textract
Prompt EngineeringRetrieval-Augmented Generation (RAG)Natural Language Processing (NLP)SQLGenerative AIChatbot Development+16

Neuriot labs

Application Developer

Jan 2022Aug 2022 · 7 mos · Noida, Uttar Pradesh, India · Hybrid

  • Worked on a context captured search engine and a rule based chatbot for Anthem, one of the largest insurance providers in the United States
  • Developed scalable REST API micro services using Python, Kafka, and ElasticSearch
LinuxNatural Language Processing (NLP)Chatbot DevelopmentResearchElasticsearchGit+1

Indian institute of technology, ropar

Research Intern

May 2019Jul 2019 · 2 mos · Ropar, Punjab, India · On-site

  • Mentor: Dr. Sujata Pal
  • Use Case: automated solution to detect ImprovisED Explosive Devices (IEDs) in the vicinity
  • Studied and drew inferences on the chemical characteristics of the components of an IED
  • Researched on possible techniques to identify explosives and finalised an InfraRed (IR) spectroscopy approach
  • Solved the business problem by developing an Android app with Bluetooth functionality
JavaAndroid DevelopmentResearch

Education

Northeastern University

Master of Science - MS — Artificial Intelligence

Sep 2024May 2026

Thapar Institute of Engineering & Technology

Bachelor of Engineering - BE — Computer Science

Jul 2018Jun 2022

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