“Any fool can write code that a computer can understand. Great engineers write systems that don't wake them up at 3 AM.”
An applied machine learning engineer and full-stack systems builder focused on scalable architecture, zero-downtime reliability, and intelligent data-driven applications.
I am currently pursuing a Bachelor's degree in Artificial Intelligence and Data Science with a strong focus on machine learning engineering, product development, and scalable software systems.
I am passionate about building intelligent systems that solve real-world problems. My work spans applied machine learning, product engineering, cybersecurity & network forensics, cloud deployment, and full-stack AI applications.
Technical Skills & Arsenal
Engineered with modern languages, asynchronous runtimes, robust ACID datastores, and specialized machine learning frameworks.
AI / Machine Learning & Data
Applied statistical modeling, feature engineering, and real-time inference microservices.
Random Forests, Isolation Forests, K-Means clustering, and regression modeling.
Ensemble methods, gradient boosting, multi-class classification, and loss optimization.
Vectorized data transformations, sliding window aggregations, and matrix computations.
Named Entity Recognition, tokenization, semantic vector distances, and text parsing.
Collaborative filtering, RFM customer segmentation, and anomaly detection.
Backend & Systems Architecture
High-throughput asynchronous APIs, security hardening, and resilient microservices.
Async ASGI endpoints, Pydantic type validation, background tasks, and low latency.
Event-driven asynchronous services, middleware security layers, and RESTful APIs.
Object-oriented design, async concurrency, type hinting, and data engineering.
End-to-end type safety, generic interfaces, and enterprise frontend/backend architectures.
Bidirectional state syncing, live flight boards, and event broadcasts.
Databases, OLAP & Caching
ACID relational databases, distributed columnar analytics, and in-memory caches.
Schema normalization, row-level locking, complex indexing, and ACID transactions.
High-speed analytical queries, time-series data aggregation, and wire-speed forensics.
Sliding-window rate limiters, session token stores, and low-latency cache buffers.
Type-safe database migrations, connection pooling, and optimized queries.
Distributed partition topics, decoupled producer-consumer pipelines.
Frontend Engineering & UI
Responsive, high-contrast user interfaces built with performance and snappy responsiveness.
Server components, reactive hooks, optimistic UI updates, and layout composition.
Utility-first design tokens, dark mode visual hierarchy, and accessible styling.
Snappy micro-interactions (<0.4s), spring physics, and layout animations.
Interactive particle systems, WebGL scene graphs, and cursor-reactive meshes.
Security, DevOps & Tooling
Production defensive controls, token security, and robust development workflows.
HttpOnly SameSite cookies, in-memory JWTs, anti-XSS, and sliding rate limiters.
Multi-stage production builds, containerized microservice orchestration.
Git workflows, branch protection, CI/CD integration, and open source collaboration.
Kernel networking parameters, shell automation, and service deployment.
Featured Projects & Architectures
Production systems architected for high-concurrency data streams, strict regulatory compliance, and sub-second machine learning inference.
ThreatLens
Passive Network Threat Detection & Live Forensic Intelligence Platform
Enterprise-grade passive network forensic platform with zero-transmit Zeek ingest, multi-tier sliding window aggregation, 6 ML anomaly engines, and ClickHouse columnar storage for sub-second threat analytics.
SmartCrew
AI-Powered Aviation Operations Center & Flight Crew Scheduling System
Full-stack aviation operations center with a multi-factor AI crew scheduling engine, Random Forest pilot fatigue risk prediction, live Flight Information Display System (FIDS), and real-time drag-and-drop Gantt dispatch.
SmartPOS CRM AI
Full-Stack Retail Platform with 7 ML Modules & Stock-Aware POS
GST-compliant modern point-of-sale retail engine backed by FastAPI and PostgreSQL, featuring 7 integrated ML modules: RFM customer segmentation, churn prediction, LTV forecast, dynamic pricing, and stock-aware checkout.
ACPCE Remuneration & Exam Management System
Automated Seating, Supervision Allocation & Hall Ticket Engine
Collaborative exam operations platform for A. C. Patil College of Engineering automating seating distribution, invigilator supervision quotas, student records, and cryptographic hall-ticket generation for 1000+ candidates.
resumatch-ai
Smart Resume Ranking & Skill Gap Analyzer powered by Genkit AI
AI-driven recruitment screening tool that ranks applicant resumes against job descriptions, extracts semantic competency vectors, and generates concrete skill gap recommendations.
Adaptive Procurement Intelligence System
AI-Powered Supply Chain Risk Scoring & Delivery Delay Prediction
Machine learning pipeline analyzing historical procurement purchase orders, supplier fulfillment variances, and seasonal delays to predict supply chain delivery risks.
Live Applied ML Sandbox
Interact directly with the mathematical models engineered in production. Adjust parameters below to evaluate real-time inference latency and regulatory decisions.
Industry Experience & Credentials
Practical engineering experience at Shree Laser Systems, 1st place championship at Vectors '26 Tech Arena, and formal machine learning specializations from Stanford & DeepLearning.AI.
Built and refined enterprise CRM pipelines and external API synchronizations.
Rigorous 3-course specialization covering foundational and advanced machine learning paradigms.
Comprehensive certification on exploratory data analysis, hypothesis testing, and statistical computing in Python.
Secured first position out of dozens of competitive engineering teams in full-stack debugging and architecture.
Specialized undergraduate degree in Artificial Intelligence, Data Structures, Distributed Systems, and Machine Learning.
Let's Build Resilient Systems Together.
I am actively seeking software engineering and applied machine learning roles where high throughput, distributed architectures, and rigorous system reliability matter.
Available for full-time Software Engineer, Backend Engineer, and Applied AI roles globally (Remote or On-site).