Anmol Singhal

AS

Open to opportunities

Anmol Singhal

@anmolsinghal

Software Engineer focused on production-ready Generative AI, RAG systems, and enterprise Java backends for real-world AI workflows.

What I'm looking for

I’m looking for GenAI or Applied AI roles that combine production-grade software engineering with real-world AI systems—building RAG, LLM-based applications, and agentic workflows that help teams deliver faster under enterprise constraints.

I’m a Software Engineer with 1.5+ years at Tata Consultancy Services, delivering backend features for TCS BaNCS Corporate Actions used by a leading US investment bank. I specialize in enterprise Java and Spring Boot systems, building reliable APIs and data transformations with strong attention to debugging and delivery.

Alongside core backend work, I’ve been hands-on with Generative AI—building internal GenAI productivity tools, including an LLM-based retrieval (RAG) knowledge assistant over technical documentation and code while meeting enterprise security constraints. I’ve also automated log analysis, query drafting, and documentation summarization to help teams move faster and support each other earlier.

Before and around my production work, I built GenAI and agentic AI workflows through personal projects, exploring task planning, tool orchestration, and iterative LLM-based problem solving. I also completed a Data Science internship at Pickl.AI, where I trained and evaluated machine learning models in Python to predict hotel booking cancellations with over 90% accuracy.

Experience

Work history, roles, and key accomplishments

TS

Current

Software Engineer

Current

Tata Consultancy Services

Sep 2024 - Present (1 year 9 months)

Developed backend features for TCS BaNCS Corporate Actions for a leading US investment bank using Java, Spring Boot, REST APIs, SQL, and Oracle. Built GenAI/RAG-based internal knowledge assistant and automated log analysis, query drafting, and documentation summarization to accelerate knowledge access and earlier delivery.

Java Spring Boot REST APIs SQL RAG Generative AI

PI

Data Science Intern

Pickl.AI

May 2023 - Jul 2023 (2 months)

Built and compared multiple Python machine learning models to predict hotel booking cancellations, achieving 90%+ predictive accuracy through data cleaning, preprocessing, and exploratory data analysis. Created Tableau dashboards to communicate key behavioral drivers and model insights to stakeholders.

Python Machine Learning Pandas scikit learn Data Cleaning data preprocessing predictive modeling Tableau

Education

Degrees, certifications, and relevant coursework

UU

University of Petroleum and Energy Studies (UPES)

B.Tech (Hons.), Artificial Intelligence and Machine Learning

Grade: CGPA: 8.2 / 10

Activities and societies: Minor: DevOps.

Pursuing a B.Tech (Hons.) in Computer Science and Engineering with a Major in Artificial Intelligence and Machine Learning and a Minor in DevOps.

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