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AI · Full-Stack · Search · Cloud

I build AI systems and the full-stack products around them.

Sai Abhinav Sadineni

AI & Software Engineer · Systems Builder

View selected workResume (coming soon)Get in touch
Open to internships & new-grad roles

Graduating 2027 · available for 2026 internships · Hyderabad, India

2nd / 22,000+
Deloitte Hacksplosion 2026
1st place
Sudhee 2026 hackathon
99.4% F1
Predictive-maintenance model
02About

I build AI systems, full-stack products, and search infrastructure.

I build AI systems and the full-stack apps around them, and get them in front of real users. Recently that's been a nine-agent pipeline that extracts structured data from legal judgments, a hybrid search engine over shared interview experiences, and a multi-tenant community-operations app that's live. Most of my time goes into the parts that break under load, like search relevance and keeping one tenant's data from leaking into another's.

EducationChaitanya Bharathi Institute of TechnologyB.E. — Artificial Intelligence & Data Science
Graduating 2027Open to 2026 internships & new-grad roles
03Selected work

Four projects I've built.

01Multi-Agent AI · Legal Intelligence2026

Agentic Case-Law Intelligence

National 2nd — Deloitte Hacksplosion 2026

A multi-agent system that turns Indian court judgments into structured legal intelligence. Nine specialised agents run under a supervisor and master agent, and every field is source-verified, confidence-scored, and schema-validated before human review.

  • GenW.AI
  • Qwen3
  • Multi-Agent
  • PostgreSQL
View Architecture
Private repo
02Search Infrastructure · Full-stack2026

HireLog — Interview Search

1st place — Sudhee 2026 hackathon

A full-stack platform that turns shared interview experiences into searchable knowledge. Search is hybrid: FAISS semantic vectors, Typesense BM25, and a reranking pass, fed by spaCy NLP enrichment and a background indexing worker.

  • FastAPI
  • FAISS
  • Typesense
  • Next.js
View Architecture
03Multi-tenant SaaS · Full-stack2026

CircleIn — Community Operations

A multi-tenant operations platform for residential communities: amenity booking, QR access, maintenance, notifications, and admin tooling. Built on Next.js 16 with NextAuth + Firebase, role-aware routing, and a Gemini-powered assistant.

  • Next.js 16
  • NextAuth
  • Firebase
  • Gemini
View Architecture
04Predictive ML · Web App2025

MachineInsight Pro — Predictive Maintenance

A predictive-maintenance web app: feed in machine telemetry (torque, speed, temperature, tool wear) and get a failure-risk prediction in milliseconds. A Vercel serverless function proxies an IBM Watson AutoAI LightGBM model so the API key never reaches the browser.

  • Watson AutoAI
  • LightGBM
  • Vercel Functions
  • Chart.js
View Architecture
04Experience

IBM internship and Amazon ML School.

Jul – Aug 2025Remote

IBM SkillsBuild & Edunet Foundation

Emerging Technologies Intern — Cloud, AI & Software

Built ML inference pipelines on IBM Cloud and the automation around them.

  • Built and deployed ML inference pipelines on IBM Cloud, with CI/CD workflows that retrained models automatically and removed the manual deploy steps.
  • Refactored Python data-preprocessing into object-oriented modules, which made it easier to maintain and cut batch-job runtime.
  • Worked across the build, test, and deploy cycle with Git and Agile to ship and debug services.
Aug 2025Remote

Amazon ML Summer School 2025

Selected Mentee — Machine Learning & AI

Picked nationally for Amazon's ML program, taught by their research scientists.

  • Selected through a competitive nationwide process for an intensive program covering supervised learning, deep learning, probabilistic models, and reinforcement learning, taught by Amazon research scientists.
  • Worked through problem sets on optimization, distributed training, and large-scale inference, and how production ML handles latency and scale.
05Technical skills

What I work with.

01

AI & ML

  • LLM Application Development
  • Agentic AI (GenW.AI)
  • Multi-Agent Orchestration
  • Retrieval / RAG
  • sentence-transformers
  • Predictive Modeling
  • LightGBM (Watson AutoAI)
  • Qwen3
  • spaCy
02

Backend & APIs

  • FastAPI
  • Next.js Route Handlers
  • Node.js
  • REST APIs
  • NextAuth
  • Background workers
  • System Design
  • Object-Oriented Design
03

Search & data

  • FAISS Vector Search
  • Typesense (BM25)
  • Hybrid Search + Reranking
  • Embeddings & Retrieval
  • Redis
  • PostgreSQL
  • Firebase Firestore
04

Cloud & infra

  • Vercel
  • Hugging Face Spaces
  • Serverless Functions
  • Docker
  • CI/CD
  • Blue-green deploys
  • Google Cloud
  • IBM Cloud
  • Oracle Cloud (OCI)
Languages
  • Python
  • Java
  • TypeScript
  • SQL
  • C
  • JavaScript
  • R
06Recognition

Awards and certifications.

01

National 2nd Prize — Deloitte Hacksplosion 2026

Top 2 of 22,000+ applicants: Top 60, then Top 10 national finalists, then 2nd place (INR 1,00,000), for the agentic case-law project.

Deloitte
02

Winner, 1st Prize — Sudhee 2026 Hackathon

Won for HireLog, judged on engineering depth, system design, and algorithms.

Sudhee
03

Selected Mentee — Amazon ML Summer School 2025

Picked through a nationwide process for Amazon's ML program, taught by their research scientists.

Amazon
Certifications

Oracle Generative AI Professional

1Z0-1127-25

OCI AI Foundations Associate

1Z0-1122-25

Salesforce Agentforce Specialist

AI-201

MongoDB Associate Developer

C100DEV

07Contact

Open to AI and software roles.

I'm looking for 2026 internships and new-grad roles in AI, software, search, or cloud (graduating 2027). Email is the best way to reach me.

abhinav.sadineni@gmail.comResume (coming soon)