SYS_STATUS: ACTIVE
PIPELINE_FPS: 60
EXEC_LATENCY: 12ms
.ENGINEER RESUME PRESENTATION

PREE OM
PRIYADARSHI
KAMILA

[CORE PROFILE] // Software Development Engineer & Machine Learning Engineer specializing in runtime optimization, asynchronous pipeline deployment, and resilient backend frameworks. Proven execution in developing real-time automated verification infrastructures and containerized systems.

preeom@kamila-dossier:~$ ./run-inference --pipeline=realtime --accelerate=true _
.DOCUMENT INDEX LAYOUT 01. THE PROFILE INTEL 02. PROFESSIONAL TIMELINE 03. SELECTED TECH BUILDS 04. ACADEMIC EVALUATION
Pree Om Silhouette
.PREE OM // SYS_AUTH
✦ HIGH INTENSITY RUNTIME INFRASTRUCTURE ✦ COGNITIVE PIPELINE LOGIC ✦ CONTAINER WORKLOAD ISOLATION ✦ DESIGNING ROBUST COMPUTER SCIENCE FRAMEWORKS ✦
✦ HIGH INTENSITY RUNTIME INFRASTRUCTURE ✦ COGNITIVE PIPELINE LOGIC ✦ CONTAINER WORKLOAD ISOLATION ✦ DESIGNING ROBUST COMPUTER SCIENCE FRAMEWORKS ✦
.SYS RECORD 01

.ABOUT ME

Pree Om Portrait Image

DATA TRACK INTEGRATION

B.Tech Computer Science Engineering specialization in Artificial Intelligence & Machine Learning.

Engineering production-ready AI applications built upon structural computer science fundamentals.

Deeply anchored in Data Structures & Algorithms, Object-Oriented Programming, Operating Systems, and System Design patterns. Experienced in mapping robust feature engineering paths, optimizing real-time asynchronous inference setups, and deploying isolated workflows through container layers.

.RESTORED TECHNICAL INDEX MAP
Python logo
Primary Stack

Python / Java Core

Robust implementation logic utilizing advanced Data Structures, Algorithms, Object-Oriented Principles, and clean modular structures.
TensorFlow logo
AI/ML Core

TensorFlow / Computer Vision

Constructing real-time inference layers, deep analytical frameworks, convolutional neural loops, and multi-modal vector checks.
JavaScript logo

JavaScript
React logo

React Engine
Node.js logo

Node.js API
Docker logo

Docker Infra
scikit-learn logo
NumPy logo
Pandas logo
Data Science

Scikit-Learn / SciPy Stack
Deep Architecture

Distributed ML Systems
.PREE OM // SYS_AUTH
.SYS RECORD 02

.TIMELINE

.ENTERPRISE CRITICAL INJECT

ENTERPRISE COREACCENTURE

Contributing to enterprise-scale software architectures and predictive analytics modeling structures. Collaborating within professional staging networks to analyze modular workflow designs and software practices. Analyzing global project deliveries to inspect scalability constraints across deployment clusters.
2026
2025
.ALGORITHMIC MATRIX RUN

ML ENGINE STRUCTFOX TRADING

Built end-to-end machine learning pipelines, forcing model prediction accuracy gains up by 18%. Designed asynchronous processing frameworks for near real-time inference, cutting down model response latency bounds by 25%. Streamlined technical algorithm execution parameters and optimized raw feature selection mechanics.
.TELEMETRY COMPONENT INFRA

UI LIFECYCLESPANDAN TV

Controlled entire site production lifecycle steps, yielding an immediate 30% advancement in absolute load telemetry velocities. Refactored facing interfaces to run on strictly responsive, modular frontend components. Enforced decoupled component states to ease down ongoing system feature updates.
Live Site Production
2025
.PREE OM // SYS_AUTH
.SYS RECORD 03

.BUILDS

WK-001

SANGRAKSHAK AI — WOMEN'S SAFETY SURVEILLANCE

  • Designed live multi-threaded frame capture pipelines for automated tracking of anomalous crowd shifts.
  • Built low-latency ingestion protocols for active surveillance video integrations.
  • Configured edge-case variance triggers to deploy rapid response communication signals across monitoring clusters.
Repository
OPENCV / TENSORFLOW / REALTIME
WK-002

SUDARSHAN AI — MODAL CRISIS VERIFICATION

  • Architected multi-agent cross-referencing setups to isolate conflicting data signatures across text matrices.
  • Constructed robust processing nodes engineered to execute on micro-container architectures.
  • Implemented container-based deployment frameworks using Node.js backend services and PostgreSQL schemas.
Repository
NLP / NODE.JS / POSTGRES / DOCKER
WK-003

SWASTH AI — EMERGENCY ORCHESTRATION PIPELINE

  • Managed automated telemetry alerts using geometric GPS routing protocols to verify immediate responder proximities.
  • Enforced encrypted record transport layers to meet strict healthcare data compliance parameters.
  • Integrated verified human-in-the-loop decision controls ensuring structured override mechanics during clinical steps.
Repository
AGENTIC INFRA / SECURITY / COMPLIANCE
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.SYS RECORD 04

.ACADEMICS

INSTITUTION SECTOR CURRICULUM / FOCUS PERFORMANCE INDEX TEMPORAL MARKS
ITER, Siksha 'O' Anusandhan University B.Tech in CSE (Artificial Intelligence & Machine Learning) CGPA: 9.51 2023 – 2027
Fakir Mohan Higher Secondary School Higher Secondary Certificate Education (CS / Math) CGPA: 7.05 2021 – 2023
St. James' Convent School Matriculation Certificate Record Summary CGPA: 9.16 2009 – 2021
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.SYS RECORD 05

.LOGS

RANK VALUATION COMPETITIVE STAGE TARGET OPERATIONAL DISCOVERY CONTEXT
[ WINNER ] AKKI AI Hackathon Led computational layout targets to build an agentic healthcare system.
[ TOP 100 ] MumbaiHacks — Asia's Largest Hackathon Stage Selected out of 20000+ engineers for modeling engaging option-chain simulations.
[ RUNNER II ] Kodlama 6-Hour Competitive Hackathon Engineered algorithmic classification nodes under immediate execution time limits.
[ FINALIST ] Hackfest Advaita (IIIT Bhubaneswar) Engineered stock visualization layers linked to interactive fantasy variables.
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