Abhinav P Inamdar

Bengaluru, KA

+91 8217615781

abhinavsnet@gmail.com

linkedin.com/in/abhinavpinamdar

https://abhinavpinamdar.github.io

Education

BMS College of Engineering, Bengaluru, KA

B.E. Computer Science (GPA: 8.0/10, Top 20%)

Aug 2026

Relevant Coursework: Distributed Systems, Operating Systems, Computer Networks, DBMS, Data Structures and Algorithms, Optimization Techniques, Linear Algebra, Probability and Statistics.

Selected Projects

EchoFS: Distributed File System

Go, AWS S3, gRPC, DynamoDB

  • Designed a distributed file system capable of dynamically switching between strong and eventual consistency to optimize latency.
  • Engineered metadata and data tiers with hash-based partitioning and replication for durability.
  • Developed an adaptive policy controller leveraging real-time telemetry to improve write performance by 25%.
  • Integrated AWS S3 as a scalable backend for fault isolation and hybrid storage.

TCO Configurator

Go, Kubernetes, Promtail, Prometheus

  • Built a multi-tiered control plane with distributed policy enforcement using Kubernetes CRDs.
  • Applied linear and heuristic optimization algorithms to balance log traffic under resource constraints.
  • Reduced system overhead by 30% through algorithmic throttling and adaptive backoff strategies.

Fake Review Detection System

Python, TensorFlow, Docker, AWS ECS

  • Built a Bi-LSTM model (97% accuracy) to detect fake reviews and deployed it via Docker on AWS ECS.
  • Integrated a Chrome extension for real-time predictions, improving response latency by 40%.
  • Showcased end-to-end design from model training to real-world product deployment.

Taxotomy: Complete Tax Guide

Next.js, TypeScript, Redux, DynamoDB

  • Engineered a secure tax planning platform supporting authentication, data persistence, and regime comparison.
  • Migrated backend from MongoDB to DynamoDB, achieving 3x query performance and lower cost.
  • Designed modular APIs and reusable components for maintainability and speed.

Open Source & Research

  • Contributor to distributed systems open-source projects.
  • Research under review: Adaptive consistency and distributed task scheduling (IEEE TCC, 2025).

Technical Skills

Languages

Go, Python, C, C++, TypeScript, Java

Backend & Cloud

AWS (S3, ECS, DynamoDB), Docker, Kubernetes, gRPC, REST APIs

Systems & Infra

Distributed Systems, Concurrency, Scalability, Fault Tolerance, Observability

Databases

PostgreSQL, DynamoDB, MongoDB, MySQL

Achievements & Competitions

  • Regional Finalist, SAP Hackfest 2025: Top 20/500+ for cloud-native infrastructure solution.
  • Competitive Programming: 200+ problems solved. LeetCode 1610+, Codeforces 1300+, CodeChef 2* (1400+).

Leadership & Activities

  • Junior Coordinator, College Fest 2024: Led a 15-member cross-functional team executing 10+ events for 1,000+ attendees.