Suryansh Jaiswal

Software Engineer

Ghazipur, Uttar Pradesh, India11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Developed AI-driven tools at Amazon for data insights.
Expert in Python and Machine Learning applications.
Strong foundation in software design and engineering.

Stackforce AI infers this person is a SaaS-focused Software Engineer with expertise in AI and data-driven solutions.

Contact

Skills

Core Skills

EngineeringSoftware DesignPython (programming Language)Machine Learning

Other Skills

Retrieval-Augmented Generation (RAG)Large Language Models (LLM)Pandas (Software)PostgreSQLMulti-agent SystemsResearch SkillsLaTeXCritical ThinkingAnthropic ClaudeAmazon BedrockTechnical DocumentationstreamlitAnalytical SciencesApplied TechnologySQL

About

You can view my full portfolio here: https://f7a134e7.suryansh-jaiswal-portfolio.pages.dev/

Experience

11 mos

Total Experience

9 mos

Average Tenure

2 mos

Current Experience

Intuit

Software Engineer 1

Apr 2026 – Present · 2 mos · Bengaluru · Hybrid

Goldman sachs

Software Engineer 1

Jul 2025 – Apr 2026 · 9 mos · Bengaluru · On-site

EngineeringSoftware Design

Infinite possibilities

Quantitative Researcher

Apr 2025 – May 2025 · 1 mo · Remote

Amazon

Applied Scientist

Jul 2024 – Dec 2024 · 5 mos · Bengaluru, Karnataka, India · On-site

During my internship at Amazon, I spearheaded the development of cutting-edge AI-driven tools, transforming the way data is analyzed and insights are generated for Amazon products and vendors. Key accomplishments include:
SQL Query Agent: Designed and deployed an intelligent agent to seamlessly convert natural language queries into SQL commands. Integrated robust guardrails to ensure precision and accuracy, enabling dynamic data insights for enhanced decision-making. Built an interactive dashboard using Streamlit, powered by AWS Athena, S3, and Bedrock.
Table Onboarding Agent: Automated schema and column context generation using retrieval-augmented generation (RAG). Where RAG fell short, I leveraged column data for generating insights, ensuring comprehensive table understanding for high-quality analytics.
Insight Generation Agent: Built a solution to empower vendors by defining business goals, generating targeted questions, and delivering actionable insights through Python scripts and AI-driven answering mechanisms. Guardrails ensured integrity across the pipeline.
Technologies & Skills:
Proficiency in Python, Streamlit, MySQL, and LaTeX.
Hands-on experience with AWS Lambda, Athena, Crawler, S3, and SageMaker for cloud-based data processing and analysis.
Expertise in database management with PostgreSQL and interactive dashboard creation.
Utilized advanced algorithms like beam search and fuzzy search to optimize solutions.
Developed, tested, and delivered scalable solutions with code quality validated via peer reviews and CI/CD best practices.
This role exemplified my ability to leverage advanced technologies and methodologies to create impactful, scalable, and business-oriented solutions. I successfully delivered tools that empower vendors to optimize their strategies, strengthen Amazon’s analytics capabilities, and drive innovation in data-driven decision-making.