About me

I'm Prathamesh Nawale, a penultimate-year Computer Science student passionate about distributed systems, scalable software architecture, backend engineering, and machine learning. I enjoy building high-performance software that solves real-world problems.

I'm an active competitive programmer, having achieved Codeforces Specialist, CodeChef 3★ Programmer, and LeetCode Knight through consistent participation in algorithmic contests and problem-solving.

I've been recognized as a 4× Hackathon Winner, Winner of the Allianz Tech Championship 2026, and a Smart India Hackathon (SIH) 2025 Grand Finalist. I'm driven to build scalable, impactful technology that creates real-world value.

4x National Hackathon Winner
Winner Allianz Tech Championship 2025
SIH 2025 Grand Finalist

Coding & Competitive Profiles

Knight

LeetCode

@Prathamesh_Nawale19

Consistent top contest ratings & extensive Data Structures & Algorithms solutions

What I'm Doing

  • Distributed Systems icon

    Distributed Systems & Architecture

    Architecting low-latency, scalable financial risk & supply chain platforms using Java/Spring Boot microservices, GCP BigQuery, and high-throughput telemetry pipelines.

  • Machine Learning icon

    Machine Learning & Biosignal AI

    Engineering anomaly detection models (GraphSAGE, Isolation Forests) for fraud detection and Brain-Computer Interfaces (BCI) interpreting EEG/EMG signals.

  • Agentic AI icon

    Agentic AI & LLM Systems

    Developing autonomous agentic assistants powered by Genkit & Gemini 2.5 Flash featuring custom tool-calling and dynamic multi-modal route optimization.

  • Competitive Programming icon

    Competitive Programming

    Consistently competing globally on Codeforces (Specialist), CodeChef (3-Star, 1602 rating), and LeetCode (1600+ contest rating) with strong DSA foundations.

Resume

Education

  1. Vishwakarma Institute of Technology (VIT), Pune, India

    Aug 2025 – May 2028

    Bachelor of Technology in Computer Science Engineering (Artificial Intelligence)
    CGPA: 9.29 — Focus on distributed systems, AI & ML, software architecture, and advanced data structures.

  2. JSPM’s Bhivarabai Sawant Polytechnic, Pune, India

    Sep 2022 – May 2025

    Diploma in Computer Engineering
    Percentage: 93.4% — Built strong core technical fundamentals in programming, database systems, and computer networks.

Experience & Internships

  1. Summer Analytics Trainee — IIT Guwahati × HackerEarth

    June 2026 – Present | Remote (National-level Analytics Program)

    • Built end-to-end predictive analytics pipelines using Python, SQL, and Machine Learning, applying feature engineering and hyperparameter optimization to improve model performance.
    • Developed automated dashboards and reporting workflows, reducing manual analysis effort by 40% while collaborating with 50+ trainees; applied performance analysis, debugging, and visualization tools.

  2. AI & Cloud Intern — Edunet Foundation (IBM SkillsBuild & AICTE)

    July 2025 – August 2025

    • Completed a 4-week internship focused on Artificial Intelligence and Cloud Computing.
    • Worked on real-world data analytics, machine learning algorithms, and cloud-based AI application deployment.

Technical Skills

Languages

C C++ Java Python JavaScript

Frameworks & Databases

Spring Boot React.js React Native Flask FastAPI MongoDB MySQL PostgreSQL Firebase

Machine Learning & Data Science

XGBoost YOLOv8 OpenCV Feast Pandas NumPy Scikit-learn Data Visualization

Cloud & Infrastructure Tools

Git / GitHub Google Cloud Platform (GCP) Google Earth Engine (GEE) REST APIs Twilio API Apache Kafka

Core Computer Science Concepts

Data Structures & Algorithms Object-Oriented Programming (OOP) DBMS Operating Systems Computer Networks

Featured Projects

  • Financial Engineering & Risk

    NexusGuard – Real-Time AI Fraud Detection & AML Intelligence Platform

    Java Spring Boot Python PyTorch FastAPI Next.js MongoDB Microservices
    • Architected a low-latency, distributed financial risk management platform using Java/Spring Boot microservices, enabling real-time transaction risk assessment and anti-money-laundering (AML) intelligence at scale.
    • Applied GraphSAGE and Isolation Forests to detect anomalous financial behavior, directly addressing fraud and cyber threats risk vectors.
  • BioSignal AI & IoT

    MOVIX – Brain-Controlled Smart Wheelchair using EEG & EMG Signals

    Python React Native MongoDB OpenStreetMap Machine Learning BCI Signal Processing IoT
    • Developed a Brain-Computer Interface system that interprets EEG and EMG signals to enable wheelchair navigation and text generation for individuals with motor impairments.
    • Implemented signal preprocessing, feature extraction & ML-based classification algorithms for intent recognition & command execution.
    • Achieved 88% classification accuracy on biosignal intent prediction while reducing signal noise through filtering and feature engineering.
  • Agentic AI & Cloud

    OmniChain AI – Intelligent Supply Chain Control Center

    React.js Node.js GCP Google Cloud BigQuery Genkit Gemini 2.5 Flash REST APIs Agentic AI
    • Architected a distributed, production-grade supply chain system using React.js & Node.js, integrating a high-throughput Google Cloud BigQuery pipeline for concurrent processing; engineered for reliability and scale across global shipment telemetry.
    • Engineered an Agentic AI assistant utilizing Genkit & Gemini 2.5 Flash with custom tool-calling; implemented a dynamic Carbon Calculator for multi-modal route optimization, driving sustainability (UN SDG 13) and predictive disruption mitigation.

Achievements & Recognition

Competitive Programming Highlights

Codeforces

Global Rank 316 / 14,000+

Achieved Global Rank 316 out of 14,000+ participants on Spectral::Cup 2026 Round 3 (Codeforces Round 1110, Div 1 + Div 2). Attained Codeforces Specialist title.

CodeChef

Global Rank 348 | 3-Star (1602 Rating)

Achieved Global Rank 348 in CodeChef Starter 247 and attained a CodeChef rating of 1602 (3-Star Programmer).

LeetCode

Knight @Leetcode

Maintained a 1800+ contest rating through consistent algorithmic problem solving across competitive contests.

Hackathon & National Competition Victories

  • Winner — Allianz Tech Championship 2026

    1st Place | 8,500+ Participants Across India

    Secured 1st place among 8,500+ participants from top engineering institutes across India.

  • Winner — DIAT DRDO Track, VIT CodeVerse 2025

    1st Place | 500+ Teams

    Secured 1st place among 500+ competing teams at a national-level hackathon under the DIAT DRDO track.

  • Runner-Up — Breaking-Enigma, VIT 2026

    3rd Place | 1,500+ Participants

    Secured 3rd place among 1,500+ participants at a national-level engineering hackathon.

  • Runner-Up — MindSpark COEP’25

    Ranked Top-2 | 100+ Teams (TATA Motors)

    Ranked top-2 among 100+ teams for solving real-world engineering challenges for TATA Motors.

  • AIR 77 — AIdeate - AI-Based Case Competition 2025

    All India Rank 77 | IIT Delhi × Team Turing (South Korea)

    Achieved AIR 77 in the prestigious international AI case competition organized by IIT Delhi and Team Turing (South Korea).

  • Smart India Hackathon 2025 Grand Finalist

    Selected Among Top Teams Nationwide | 69,000+ Teams

    Selected among the top teams nationwide from 69,000+ participating teams in Smart India Hackathon 2025.

Contact

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