Software Engineer, AI · Princeton, NJ · Open to remote work or relocation

Akshant Jain

I build AI agents end to end, from design and evaluation to agents running in production.

I lead the BI analytics module and its AI agent at DataGOL, and I created Repolane, an open-source tool for running AI coding agents safely across repositories. Employee of the Year 2024.

  • 5 years of experience
  • Python
  • TypeScript
  • LangGraph
  • RAG
  • MCP
  • Agent evals
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Impact

4–6
engineers and testers led

Lead a team of 4–6 engineers and testers on DataGOL's BI analytics module and its AI agent.

2×
faster analytics AI agent

Made DAVE, the AI agent in DataGOL's BI module, 2× faster, nearly doubled its answer quality scores, and cut its errors by about two-thirds.

2–3×
faster client AI service, in 2 weeks

Guided a client's AI service to 2–3× faster responses within a 2-week deadline, by reviewing its pipelines, prompts and approach.

~10
parallel agent tasks with Repolane

Built Repolane, an open-source tool that runs about 10 AI coding agent tasks in parallel across 5–6 repositories, each in its own isolated worktree.

About

Portrait of Akshant Jain
Akshant Jain
Software Engineer, AI
Open to opportunities

My focus is the engineering around the model: agent workflows, evaluation, and the reliability, latency and cost work that makes agents dependable in production. I started as a front-end engineer and grew into full-stack and AI work over five years, picking up team leadership and mentoring along the way, and studied Computer Science with a minor in Mathematics at the University of Illinois at Chicago.

Writing

Experience

  1. Software Engineer · BI Analytics Lead

    InnCreTech LLC
    Oct 2023 — Present

    DataGOL

    InnCreTech's AI-native data and agents platform (warehouse, ETL, lineage, BI, multi-agent orchestration and governance). I own and lead its BI analytics module and DAVE, the module's AI analytics agent.

    • Lead the BI analytics module end to end: a team of 4–6 engineers and testers, the system design (query layer, data structures, latency) and the AI agent. Mentor new engineers and run technical interviews.
    • Forward-deployed client work: weekly calls with clients to gather requirements, walk through trade-offs and progress, and run demos, then turn their business needs into specs.
    • Built AI features that let users ask questions in plain English and get charts and insights, cutting manual analysis by 90%.
    • Improved DAVE, the module's AI analytics agent, which turns questions into database queries, finds trends and anomalies, and builds charts and reports: about 80% higher evaluation scores, 2× faster responses and two-thirds fewer errors.
    • Made these gains by restructuring DAVE's skills, prompts and workflows, adding a check that compares its answers with the real chart data, and building a Playwright test framework to evaluate it across frontier and open models.
    • Advised a client on their AI service under a 2-week deadline, guiding changes that made it 2–3× faster and cut prompt size and cost.
    • Designed the dashboard engine (drill-down, conditional formatting, optimized SQL, in-memory caching, parallel queries) for sub-second responses on large datasets, and hardened the module's performance and security.
    • Added white-label dashboard embedding with theming and API configuration, a reporting engine with ad-hoc queries and PDF/Excel/CSV export, and event-driven threshold alerts.
    • Added data querying over JDBC and Spark and a search interface that lets non-technical users explore their data.

    TermGrid

    Debt financing software for private capital. As my focus moved to DataGOL, I took on a lead and mentor role here.

    • Built an AI document feature that turns uploaded financial documents into structured financial data and lets users ask plain-English questions about the extracted results.
    • Mentor newly hired engineers through onboarding and code reviews, and run technical interviews for engineering candidates.

  2. Programmer Analyst

    InnCreTech LLC
    Oct 2021 — Sep 2023

    TermGrid

    Debt financing software for private capital, connecting private equity sponsors, lenders and advisors.

    • Helped build and scale the platform, which has handled $50B+ in debt financing.
    • Migrated the platform from AngularJS to React, cutting API calls by 65% and page load time by 55%.
    • Built REST APIs handling 1M+ calls a day at 99.95% uptime, plus secure deal rooms for sponsors, lenders and advisors (encryption, role-based access, audit logs, SOC 2), an NDA layer for confidential deal information and a coverage module with the full history of lender–sponsor interactions.
    • Served on the production monitoring rotation, fixing about 10 production bugs and shipping about 5 patches a month.

    Materialise CO-AM (formerly Link3D)

    Jan 2023 — Sep 2023

    Additive manufacturing software.

    • Improved material control, planning and flow across manufacturing facilities and integrated automated calculations into the platform, cutting errors by 50% and manual effort by 95% and speeding up the process by 25%.
    • Built the reusable React component library used to migrate the platform from Angular to React, and owned delivery end to end: requirements, specs, coding, testing, deployment, user training and support.
    • Wrote the technical documentation for the React migration and for the Materialise acquisition and platform integration.

  3. Software Developer (Part-time)

    Stealth Startup
    Jul 2021 — Sep 2021
    • Designed and built the startup's customer-facing landing website for its product launch, plus front-end prototypes of popular existing sites for its testing phase.

  4. Web Developer (Intern) · New Delhi, India

    SVS Techno Consultants Pvt. Ltd.
    Jun 2020 — Aug 2020
    • Turned the company's website into a React and MySQL dashboard with Firebase authentication and two-step sign-in, improving progress updates between employers and administration by 25%.
    • Built and tested a Node.js email API with SendGrid, optimized performance with a caching system, and wrote testing scripts, working in the web team's Scrum workflow.

Projects

Repolane

Problem
Running several AI coding agents across many repositories at once leads to conflicting changes, mixed-up context, and agents straying outside their task into secrets, other repos or main branches.
Solution
An open-source (Apache 2.0) tool that gives each task its own git worktree and checks every agent action with a rules engine on Claude Code hooks, so agents can work in parallel safely. Designed for running many tasks in parallel: about 10 at once across 5–6 repositories, each in its own isolated worktree.
WebsiteGitHub
PythonBashGitClaude CodeAI agents
The Repolane board: three active lanes and one parked, across five repos, with per-repo uncommitted and unpushed counts.The Repolane board: three active lanes and one parked, across five repos, with per-repo uncommitted and unpushed counts.
  1. 01WorkspacesGit worktree per task, one clone per repo
  2. 02Rules engineClaude Code hooks check every agent action
  3. 03Regression suite184 automated cases plus live self-checks
  4. 04Memory & boardScoped agent memory, local dashboard
  • Designed a workspace model on git worktrees (one clone per repo, one isolated workspace per task) so several AI coding agents can work in parallel across repos without conflicts or mixed-up context.
  • Built a Python rules engine on Claude Code hooks that checks every agent action, including shell command chains and resolved file paths, to keep agents in scope, block access to secrets and protect main branches.
Read the full case study

Earlier projects

Show 6 college and early projectsHide

Cloudgile

Jan — May 2021

Agile project management web app built by a four-person team using Scrum: issues, sprints, backlog, chat and project history, with users and data allocated by project role.

ReactMaterial UIFirebaseJavaScript

My Daily Life

Aug — Dec 2020

Working prototype of a planner that brings a daily schedule, goals and checklists into one interactive overview, designed on UI principles in a five-person team.

ReactHTMLCSSNetlifyUI design

Recognition & education

Award · 2024

Employee of the Year

InnCreTech LLC

For leading the BI analytics module and its contribution to winning new customers.

Education · 2021

University of Illinois at Chicago

BS Computer Science, Mathematics minor

Dean's List (Fall 2019, Spring 2021) · ACM member (ACM UIC, SIG-WebDev)

Certifications
Show 3 Google Cloud certificationsHide

Recommendations from colleagues are on LinkedIn

Skills

Agent toolset

AI & agents
Multi-agent systemsAgent harnessesAgentic workflowsTool callingContext engineeringAgent evaluationRAGHybrid search (BM25 + embeddings)Vector searchHuman-in-the-loopLLM observability & cost trackingPrompt engineeringMCP
LLMs & frameworks
LangGraphLangChainClaudeOpenAIGeminiEmbeddings
AI dev tools
Claude Code (hooks, skills)CursorGitHub Actions

Engineering foundation

Languages
Python · TypeScript · JavaScript · Java · SQL
Frameworks
FastAPI · Next.js · React · Node.js · Spring Boot · SQLAlchemy · Pydantic
Data & cloud
PostgreSQL · Spark SQL · Redis (Streams, pub/sub) · Weaviate · DuckDB · Docker · Kubernetes · GCP · CI/CD
Testing & security
Playwright · OAuth 2.0 / PKCE · JWT · Role-based access control (RBAC) · Multi-tenant isolation · Sandboxed code execution
Portrait of Akshant Jain
Open to opportunities

Building AI agents? Let's talk.

I'm looking for AI engineer roles where I can build agent systems end to end. Book a call or grab my resume, and I'll get back to you quickly.

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