Nileet Savale

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Each card points at something real — open the source and verify for yourself.

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  Enterprise Live Data Sync Framework - Real-Time Log Processing Pipeline

  Engineered a 25-command Redis-compatible server from scratch in C++ implementing the RESP wire protocol over raw TCP, fixing a payload-truncation bug and processing 13,672 logs across 3,070 lines of code with zero data loss. Developed a two-stage validation and delivery pipeline (Python/FastAPI) achieving a 94.3% cloud acceptance rate via token-bucket rate limiting and exponential backoff with jitter, cutting retry storms across 2,758 requests despite a 5.7% injected fault rate. Orchestrated 7 Dockerized services with a multi-stage build, exposing Prometheus metrics scraped every 5s across 3 targets to a 6-panel Grafana dashboard for real-time pipeline observability.
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  Loop Runner - SaaS Autonomous AI Coding Agent Platform

  Shipped a full-stack agentic coding platform (Python/FastAPI + Next.js 14/TypeScript) running an autonomous write-test-retry loop with live token streaming over WebSocket and auto-commit via GitPython on verification pass. Designed a 4-provider LLM abstraction (Anthropic, OpenAI, Gemini, Mistral) with a BYOK key vault encrypted AES-256/Fernet and Redis pub/sub WebSocket fan-out enabling horizontal pod scaling with no sticky sessions. Deployed a production Kubernetes stack with Job-per-session pod isolation (512Mi–2Gi RAM, 0.5–2 CPU limits, auto-cleanup after 10 min), HPA, shared PVC and a 3-stage GitHub Actions CI/CD pipeline shipping SHA-pinned, rollout-verified deploys.
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  Enterprise Live Data Sync Framework

  Real-time firewall log processing pipeline with a custom C++ in-memory queue, async Python ingestion and delivery services and a live Grafana observability dashboard.
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  Loop Runner

  A full-stack SaaS platform that autonomously writes, tests, and commits code using an agentic LLM loop; supports 4 AI providers (Claude, GPT-4o, Gemini, Mistral), real-time WebSocket streaming, BYOK key management with AES-256 encryption, and deploys on Kubernetes with a full GitHub Actions CI/CD pipeline.
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  Stamp'd

  Co-founded and architecting a travel-readiness platform on AWS (EC2, S3, RDS, DynamoDB, Cognito). FastAPI backend with Terraform IaC and GitHub Actions CI/CD delivers sub-200ms latency on automated compliance checks for 40+ country entry requirements — cutting manual lookup time by 70%.
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  Suits

  RAG pipeline over SEC EDGAR 10-K/10-Q filings combining BM25 and sentence-transformer embeddings with reciprocal rank fusion. Achieves 91.3% retrieval accuracy on financial QA benchmarks. FastAPI backend, React frontend.
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  LangViz

  Docker-containerized visualization platform supporting multi-language execution (Python & R). PostgreSQL backend for persistent session state, live chart rendering, and 50+ built-in chart templates — built for reproducible research workflows.
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  IoT Smart Dustbin

  IoT-powered waste management system with cloud analytics, reducing bin overflow by 60%. Published IEEE paper (Oct 2024) demonstrating real-world impact of embedded AI in urban infrastructure.
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  Founder & CTO @ Stamp’d

  Built a full-stack travel intelligence platform (Next.js + Hono, 90+ endpoints, 29-table Postgres) integrating 7 APIs (Anthropic Claude, Amadeus, Stripe, Tesseract OCR) for real-time visa validation across 190+ countries at sub-200ms latency. Architected security-first infrastructure: AES-256-GCM passport encryption, nonce-based CSP and RLS isolation across 27 schema migrations deployed on Vercel + Supabase, cutting monthly cost 69% ($80 to $25/mo). Containerized with multi-stage Docker, shipped 10+ production releases with 4 automated cron workflows to 100+ beta users; selected 1 of 148 startups for the Amplify Accelerator (2026 cohort).
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  Forward Deployed Engineer @ Global Health Impact (GHI), Tobias Center, Indiana University

  Slashed deployment time by 75% by designing and maintaining CI/CD pipelines with Jenkins, Docker and Nginx, eliminating manual release processes and standardizing deployments across multiple production environments and development teams. Administered cloud-hosted services supporting 99.9% uptime, implementing monitoring, incident response workflows, deployment safeguards and proactive health checks to improve production reliability and operational resilience. Engineered RESTful APIs and data ingestion systems for a WHO-recognized public health initiative led by Prof. Nicole, migrating legacy Flask apps to Next.js and reducing entity-matching errors by 30%, improving frontend maintainability, data quality and reporting accuracy.
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  Research Assistant - Data Analytics & Machine Learning @ Indiana University School of Public Health

  Reduced data preprocessing time by 60% by engineering SQL-based ingestion pipelines for NHANES datasets spanning 180K+ records across 9 survey cycles, automating data cleaning, validation and transformation steps. Modeled regression and classification approaches using statistical learning techniques to analyze relationships between nutritional biomarkers and cardiovascular outcomes across large population-scale health datasets derived from CDC sources. Integrated CDC and NIH datasets through automated validation scripts, improving data quality and reproducibility for research.
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  Software Engineering Intern @ Wipro PARI Ltd

  Improved industrial automation validation efficiency by 15% through FAT3 testing, process optimization and structured validation procedures across 3 large-scale automation deployments supporting manufacturing operations. Increased system validation accuracy by 20% by developing standardized testing workflows, defect tracking procedures, deployment readiness checks and integration validation processes across engineering teams. Passed FAT3 by owning client communication and coordinating across 5 cross-functional teams (mechanical, electrical, purchase, SAP integration and controls) to resolve integration issues and secure production readiness sign-off.
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  Machine Learning Engineer Intern @ SearchIn

  Developed computer vision models for smart retail checkout systems, training item-recognition pipelines to identify products placed into camera-enabled shopping carts in real time and support automated checkout workflows. Optimized barcode detection and image-processing routines as part of a lean startup engineering team, achieving strong real-world product-recognition accuracy and diagnosing barcode-occlusion as the primary failure mode driving the next iteration. Deployed ML inference models into retail systems, enabling automated item tracking, inventory recognition and checkout.
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  Software Engineering Intern @ Atul Ltd

  Delivered an enterprise platform serving 75+ facilities and 5,000+ employees, streamlining administrative operations. Implemented backend services and real-time data synchronization processes, reducing retrieval latency by 40% across systems. Collaborated with cross-functional stakeholders to deliver scalable software solutions supporting large-scale industrial systems.
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  Co-Founder & CTO @ Stamp'd — Travel Readiness Platform

  Architecting a scalable travel-readiness platform on AWS (EC2, S3, RDS, DynamoDB, Cognito) with FastAPI, Terraform IaC, and GitHub Actions CI/CD. Achieved sub-200ms API latency for real-time visa and entry-requirement workflows. Zero-downtime deployments from day one.
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  Research Assistant — Data Analytics & ML @ IU School of Public Health

  Cut data preprocessing time by 60% building SQL pipelines over 180K+ NHANES records across 9 survey cycles. Developing regression and classification models linking nutritional biomarkers to cardiovascular outcomes at population scale.
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  Forward Deployment Engineer @ Global Health Impact (GHI) · Tobias Center, IU

  Slashed deployment time by 75% building Jenkins/Docker/Nginx CI/CD pipelines. Migrated legacy Flask services to Next.js. Engineered RESTful APIs and ingestion pipelines for healthcare analytics, reducing entity-matching errors by 30%.
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  Software Engineering Intern @ Wipro PARI Ltd

  Improved industrial automation validation efficiency by 15% through FAT3 testing across 3 large-scale projects. Increased system validation accuracy by 20% with standardized testing workflows and deployment readiness checks.
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  Software Engineering Intern @ SearchIn

  Developed 3 production applications with React, Node.js, and SQL. Improved performance by 30% through API and query optimization. Reduced production defects by 40% through structured testing and release validation.
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  Software Engineering Intern @ Atul Ltd

  Built an enterprise admin platform spanning 75+ facilities and 5,000+ employees. Engineered backend services and real-time data sync pipelines, reducing information retrieval latency by 40%.
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  Selected 1 of 148 startups for the Amplify Accelerator (2026 cohort)

  Selected for the Amplify Accelerator (2026 cohort) as Founder & CTO of Stamp'd.
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  Transforming Household Waste Management: IoT-Enabled Smart Dustbin

  Publication in IEEE
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  AWS Certified AI Practitioner (AIF-C01)

  Certification valid Nov 2025 – Nov 2028
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  Published IEEE paper

  Published IoT research on smart waste management (IEEE, Oct 2024)
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  AWS Certified AI Practitioner (AIF-C01)

  Earned AWS Certified AI Practitioner (AIF-C01)
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  Vernon Clapp Finalists

  Finalist at Kelley School of Business · IU