Abhishek Ingle

Software Engineer

San Francisco, California, United States3 yrs 1 mo experience

Most Likely To SwitchAI Enabled

Key Highlights

Built production systems with sub-900ms latency.
Architected real-time conversational AI platform.
Shipped solo from design to deployment.

Stackforce AI infers this person is a Full-Stack Engineer specializing in AI-driven applications and backend systems.

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Skills

Core Skills

Full-stack DevelopmentFastapiPythonData Pipeline DevelopmentWeb DevelopmentBackend DevelopmentMachine LearningFrontend Development

Other Skills

JavaScriptPython (Programming Language)DockerReact.jsScikit-LearnNode.jsSoftware DevelopmentAmazon Web Services (AWS)nextjsGitHubLinuxTailwind CSSSoftware Securityhugging faceSoftware Design

About

Software engineer with 2+ years building production systems. At Nucleo Research (YC F25), I built RAG pipelines over Google Drive, Notion, and OneDrive serving hundreds of daily queries at sub-900ms p95 latency. At Indiana University's HRI Lab, I architected a real-time conversational AI platform in TypeScript and Socket.IO used by 100+ study participants, achieving ~88ms WebSocket RTT. I work across the full stack with a focus on backend systems and AI/LLM integrations — and a strong eye for clean, functional UIs. I've shipped solo from design to deployment: one app is live on the Android Play Store, another has 3,000+ simulations run. Stack: TypeScript, Python, React, Next.js, FastAPI, Node.js, PostgreSQL, MongoDB, Docker, GCP, AWS, LangChain, OpenAI API. M.S. Computer Science, Indiana University (May 2025). Authorized to work in the US without sponsorship until July 2028 (F-1 OPT, STEM extension).

Experience

3 yrs 1 mo

Total Experience

1 yr

Average Tenure

1 yr 6 mos

Current Experience

Indiana university

3 roles

Software Engineer

Promoted

Aug 2025 – Present · 9 mos · Bloomington, IN · On-site

Deployed GPU-backed LLM and image generation services achieving ~800ms p95 under concurrent load
Architected real-time backend APIs (FastAPI, Docker) supporting production research workflows across web, iOS, and Android
Standardized CI/CD workflows and service templates, improving deployment reliability across the team
Collaborated with researchers and stakeholders to ship under IRB constraints and tight UX requirements

JavaScriptFull-Stack DevelopmentFastAPI

Research Software Engineer

Promoted

Jan 2025 – May 2025 · 4 mos · Bloomington, IN · On-site

Maintained and evolved a 200+ repository ROS codebase for Honda Robotics Research at IU
Built Python data pipelines processing real-time participant interaction records across 3 concurrent studies
Configured CI/CD workflows to improve build consistency across a large distributed codebase

Python (Programming Language)DockerPythonData Pipeline Development

Associate Instructor

Aug 2024 – May 2025 · 9 mos · Bloomington, IN · On-site

Taught Python (C200) and Unity/computer graphics to 35+ students across two semesters.

Nucleo research, inc.

AI Software Engineer

Jul 2024 – Sep 2024 · 2 mos · San Francisco Bay Area · Hybrid

Built and launched an LLM-powered web platform enabling natural-language search over enterprise knowledge bases using Python, LangChain, and FastAPI.
Designed RAG pipelines and backend services handling hundreds of daily queries with ~700–900ms p95 latency.
Integrated Google Drive, Notion, and OneDrive APIs through a unified backend layer deployed on GCP, with production-grade error handling and observability.
Contributed to architectural decisions around scalability, caching, and system performance.

JavaScriptReact.jsWeb DevelopmentBackend Development

[24]7.ai

Software Engineer Intern

May 2022 – May 2023 · 1 yr · Greater Bengaluru Area · Remote

Developed real-time web features using React, Node.js, MongoDB, and WebSockets, increasing user adoption by 40% through low-latency interactions.
Optimized SQL and analytics pipelines, reducing query latency by 30% for systems serving thousands of daily users.
Automated internal tooling and reporting, improving engineering velocity and delivery predictability across releases.

JavaScriptScikit-LearnWeb DevelopmentMachine Learning

Savitribai phule pune university

Frontend Developer Intern

May 2021 – Dec 2021 · 7 mos · Pune District · Hybrid

Built a customer support platform (React, Node.js, MongoDB, Socket.IO); reduced response time by 40%
Designed a Python/Kafka/AWS Lambda data pipeline with fault-tolerant architecture; 95% data accuracy
Prototyped high-fidelity UIs in Figma and Adobe XD; improved usability scores by 30%

Python (Programming Language)Node.jsFrontend DevelopmentData Pipeline Development