Hinisha Bansal

Software Engineer

Sikar, Rajasthan, India4 yrs 11 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in building scalable backend systems.
Proficient in multi-agent orchestration and API design.
Strong problem solver with a focus on system design.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in scalable systems and AI-driven architectures.

Contact

Skills

Core Skills

Software DevelopmentBack-end Web DevelopmentSystem Design

Other Skills

Python (Programming Language)LLMsDatabasesSQLDistributed SystemsSeleniumTokenizationAutomation TestingFlaskAmazon Web Services (AWS)GitHubAsynchronous WorkflowsLangChainSupervisor PatternMulti-agent Systems

About

I am a backend-focused Software Engineer with experience in building scalable systems, distributed workflows, and AI-driven agentic architectures. I enjoy solving deep system design problems, simplifying complex architectures, and creating backend systems that are reliable, maintainable, and built for scale. At Eightfold AI, I've worked across multi-agent orchestration, enterprise API design, and high-performance backend infrastructures that power large-scale hiring platforms. My work includes designing RESTful architectures, optimizing API latencies for large datasets, implementing caching and search layers (Redis, Solr), and building agentic workflow orchestration systems—most recently contributing to an AI Recruiter built using LangGraph and LangChain with persistent memory and context-aware decision-making. Outside of work, I'm big on sports—especially cricket and basketball. I enjoy debugging systems as much as dissecting match strategies.

Experience

4 yrs 11 mos

Total Experience

2 yrs 4 mos

Average Tenure

2 mos

Current Experience

Adobe

Computer Scientist

Apr 2026 – Present · 2 mos · On-site

Eightfold

4 roles

Senior Software Engineer

Promoted

Feb 2024 – Apr 2026 · 2 yrs 2 mos

Python (Programming Language)LLMsSoftware DevelopmentBack-End Web Development

Software Engineer

Feb 2023 – Jan 2024 · 11 mos

Developed the algorithm for automated Role Initialization and Updation, leveraging employee and position data and the tag-based role definitions which significantly reduces the time to set up the Job Architecture for a company.
Used a scalable DAG-based infrastructure to facilitate periodic role creation and updation, incorporating a batching process to optimize algorithm performance, reduce latency, and mitigate time complexity through parallel processing.

DatabasesSQLSoftware DevelopmentSystem Design

Member Of Technical Staff

Jun 2022 – Jan 2023 · 7 mos

DatabasesSQLSoftware DevelopmentSystem Design

Engineering Intern

May 2021 – Mar 2022 · 10 mos · Remote

Designed and implemented the template recommendation algorithm for calibrating positions, utilizing roles, titles, tokenized titles, and top skills to match against the template space. Ranked the recommendations with boosted Solr search and integrated a re-ranking post solr search based on similarity with the position after removing irrelevant templates using similarity score thresholding.
Implemented a scalable Solr-based pagination solution for the Roles Listing dashboard, migrating from client-side processing to server-side processing, and resolved sorting issues by integrating sort parameters with API calls, resulting in improved performance and support for large datasets.
Developed and maintained Selenium tests for various workflows in the Jobs Intelligence Engine module, enhancing software reliability and functionality.

DatabasesPython (Programming Language)Software DevelopmentBack-End Web Development