Agam Singh
Longmont,CO
Summary
Dynamic software developer passionate about building and implementing innovative Generative and Agentic AI solutions. Proven expertise in leveraging cutting-edge technologies to create impactful applications that enhance user experiences and drive business success. Committed to continuous learning and staying ahead of industry trends, ensuring the delivery of high-quality, scalable software.
Overview
3
3
years of professional experience
Work History
Software Development Intern - Generative AI
ASRC Federal
05.2025 - Current
- Developed an end-to-end GenAI chatbot platform designed for navigating and answering queries about confidential U.S. government contract documents. Applied AWS expertise to develop and host.
- Implemented a Retrieval-Augmented Generation (RAG) pipeline using large language models (LLMs) for semantic search and retrieval over sensitive internal documentation.
- Designed a fact-checking pipeline using a small language model (SLM) to validate AI responses and flag hallucinations catching over 95% of contradictions.
- Designed and integrated a diffusion-based time series forecasting model using PyTorch-TS to fill data gaps in critical government data streams, achieving MAPE of less than 5%. Proposed and implemented AWS-based architecture to support secure and scalable model hosting.
Command and Controls Engineer - FIELDS Team Lead
Laboratory of Atmospheric and Space Physics
05.2024 - Current
- Developed mission-critical scripts for spacecraft command, control, and telemetry processing across NASA missions including IXPE and MMS, supporting successful execution of operations on assets valued at over 1 Billion dollars.
- Team Lead for the FIELDS subsystem on MMS; ensured instrument health and data integrity. Identified and resolved critical issues, preventing potential multi-million dollar losses.
Software Engineering Intern - AI Development
ASANTe
01.2023 - Current
- Led efforts in integrating GenAI for automating unit test generation, database queries, and script writing, improving development efficiency by 30%.
- Designed and optimized a RAG-based pipeline using Claude Sonnet and LangChain, enhancing the accuracy and relevance of generated outputs by 25%.
- Applied advanced prompt engineering techniques to fine-tune LLM responses, enhancing test coverage and increasing bug detection.
Education
Bachelor of Science - Computer Science, Minor in Business
University of Colorado, Boulder
Boulder, CO11.2025
Skills
- Languages: Python, SQL, C/C, JavaScript, HTML/CSS, Java, Scala
- Frameworks: Django, Nodejs, Reactjs, PyTorch, TensorFlow, LangChain, LlamaIndex, MongoDB, ChromaDB, PostgreSQL
- Developer Tools: OpenAI, Claude Sonnet, Llama Git, Docker, VS Code, Visual Studio, PyCharm, AWS
- Libraries: pandas, Matplotlib, Scikit-learn, OpenCV, NLTK, Tesseract OCR, Transformers, BeautifulSoup, FastAPI
Timeline
Software Development Intern - Generative AI
ASRC Federal
05.2025 - Current
Command and Controls Engineer - FIELDS Team Lead
Laboratory of Atmospheric and Space Physics
05.2024 - Current
Software Engineering Intern - AI Development
ASANTe
01.2023 - Current
Bachelor of Science - Computer Science, Minor in Business
University of Colorado, Boulder