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Sri Navya Kundula

@srinavyakundula

AI/LLM Engineer at Fact Finders Pro who built a measured-accuracy document extraction pipeline and 44-field structured extraction system.

United States

Message

What I'm looking for

I'm open to full-time, contract, and freelance opportunities.

At Fact Finders Pro, I develop a Python and React fact-checking application and build LLM-powered production features. I created a document-extraction pipeline that routes pages across providers, then replaced heuristic routing with measured-accuracy routing to reduce unnecessary calls to costlier vision extractors.

I also engineered a 44-field, JSON-schema-guided extraction system that dispatches across Claude, GPT-4o, Gemini, and Groq. I benchmarked extraction approaches and resolved issues including dropped table data, rate limits, schema validation, and non-deterministic outputs.

Before that, I developed API-driven telecom applications at AT&T (via Connx Inc) and built NLP systems for resume parsing and job matching at Quadrant Resources. During a planned career break, I transitioned toward applied AI and LLM engineering, building a RAG assistant with an evaluation harness and a Gemini-powered movie discovery app.

Experience

Work history, roles, and key accomplishments

Current

Full Stack Developer (AI/LLM)

Current

Fact Finders Pro

Jul 2026 - Present (3 months)

Develop and maintain a Python and React fact-checking application, designing, implementing, and testing LLM-powered features and integrating generative AI into production workflows. Architected a multi-provider document-extraction pipeline and built a vision-LLM pipeline for structured data extraction.

Python React LLM Docling Landing AI LlamaParse AWS PyMuPDF JSON schema Claude GPT 4o Gemini GROQ Vision LLMs Benchmarking

Career Break: Independent AI/LLM Engineering & Upskilling

Self-directed

Apr 2023 - Jun 2026 (3 years 2 months)

Planned career break used to transition from backend development into applied AI and LLM engineering through structured self-study and hands-on projects. Built and deployed two live AI applications and deepened modern frontend and deployment skills.

LLM Integrations Embeddings Vector Search RAG Prompt Engineering LLM Evaluation React Redux Firebase Streamlit

Software Developer

AT&T (via Connx Inc)

Sep 2021 - Mar 2023 (1 year 6 months)

Developed and optimized API-driven telecom applications using Python, Django, and GraphQL, refactoring legacy systems to cut deployment time by 50% and improve maintainability. Designed RESTful APIs and CRUD operations on PostgreSQL and built real-time dashboards with JavaScript, Bootstrap, and jQuery.

Python Django GraphQL REST APIs PostgreSQL JavaScript Bootstrap jQuery Elasticsearch Kibana ServiceNow Query Optimization

Associate Software Engineer

Quadrant Resources

Nov 2019 - Aug 2021 (1 year 9 months)

Built an end-to-end NLP pipeline with Python, spaCy, BERT, and Hugging Face Transformers to automate resume parsing, candidate enrichment, and job matching. Developed a Named Entity Recognition (NER) model with a multilayer neural network to extract key information from unstructured text.

Python SpaCy BERT Hugging Face Transformers NER TF IDF Word2Vec Django REST APIs Selenium Unit Testing CI CD Jira Agile

Software Trainee

Quadrant Resources

May 2019 - Oct 2019 (5 months)

Built Django server applications and jQuery/Bootstrap interfaces, including a platform that generates forms automatically, and connected APIs for data storage and retrieval.

Django jQuery Bootstrap APIs