Cybernetic Systems Emblem
sumant.dhere() SYS_ENG // COMSCORE
STATUS: 200 OK | NO_NODE_IN_PROD LOC: Pune, MH • Bhopal, MP 0% npm bloat • 100% Pythonic Reliability

// Systems Architect & AI Specialist

Sumant M. Dhere

High-scale Systems Engineer specializing in automated Linux/Windows infrastructure, distributed ETL telemetry, and hardware-accelerated AI models. Focused on practical solutions, simple architecture, and reliable systems.

Python 3.12 Machine Learning TensorFlow & OpenCV Hadoop & Snowflake SQL Bash / Linux Kernel FastAPI & Flask
Profile Profile
ACTIVE_SESSION: tty1
PYTHON // LINUX // AI
ARCH: Linux & Cloud
ROLE: Systems Engineer
FIRM: Comscore Inc.
Current Production Mission

Systems Engineer @ Comscore Inc.

Sept 2025 – Present Pune, MH, India

Spearheading 24/7 mission-critical hybrid infrastructure resilience across large-scale Linux and Windows server nodes. Driving telemetry verification, distributed querying pipelines, and custom Python automation that directly eliminates operational toil.

24/7 Node Observability: Real-time daemon monitoring, kernel load telemetry, and low-latency incident escalation.
Big Data Verification: Rigorous diagnostics across Hadoop cluster jobs and Snowflake SQL datasets (100+ weekly runs).
Daemon Scripting: Custom Python 3 & Bash automation scripts eliminating repetitive toil across production servers.
Audit & Compliance: Automated configuration drift detection across enterprise production clusters.
TELEMETRY_STREAM CONNECTED
Node Availability: Full-Time
Hadoop/Snowflake Jobs: 100+ weekly
Specialization: Data Flow Management
Security Status: sudo
$ sysctl -p /etc/sysctl.d/comscore_perf.conf

> All distributed telemetry probes synchronized.

Featured Flagship Project // Star Spotlight

LNCT Tech Savy Quiz Platform & Assessment Engine

HOSTED: vercel.com | ORG: LNCT Bhopal
Production Deployed Flask + Python 3 Real-Time Pandas Analytics

Engineered and deployed a full-cycle automated testing system designed specifically for high-integrity academic competitions. Built for the prestigious Lakshmi Narain College of Technology (LNCT), powering the annual “Tech Savy” quiz examination under concurrent student loads.

Synchronized Timer & Locks

Client-side tick with server-side validation. Auto-locks question containers and initiates instantaneous auto-submission at zero seconds.

Pandas Real-Time Scoring

Custom CSV/Dataframe manager dynamically ingests concurrent user inputs, calculating instant accuracy percentiles and leaderboard generation.

Dynamic Question Containers

Decoupled DOM question state with randomized question IDs to prevent lateral peer-cheating and browser caching tampering.

Vercel Deployment

Configured WSGI workers, automated session flushing, and high uptime during heavy examination bursts.

Stack: Python • Flask • Pandas • Vanilla JS • WSGI
LNCT Verified
https://tech-savy-quiz.vercel.app/
04:58 REMAINING
SECTION: // CORE_ALGORITHMS QUESTION 14 OF 30

What is the asymptotic memory footprint of an in-place QuickSort partitioned array when using tail-call optimization?

A O(N)
B O(log N) — Auxiliary Stack Space
C O(1) Strict Constant
AUTO-SAVE: ACTIVE INTEGRITY_CHECK: PASS
>>> pandas_scoring_pipeline.py
df = pd.read_csv('responses_batch_09.csv')
✓ Parsed 240+ submissions • std_dev: 4.12 • latency: 12ms
leaderboard_matrix = df.sort_values(by=['score', 'time_delta'])

// Production & Research Portfolio

Engineered Systems & AI Builds

High-impact machine learning classifiers, automated pipelines, and community platforms.

Computer Vision • PyTorch / Keras Ideathon Finalist

Herbs Classification Using Deep CNN

Trained and evaluated a convolutional neural network across 3,500 botanical leaf samples, achieving 90% classification accuracy. Implemented automated image pre-processing, normalization kernels, and deployed an interactive Flask prediction endpoint. Selected as a Finalist in the Bansal Group National Ideathon.

Flask CNN 3.5k Dataset 90% Acc
>_ CNN.predict()
OpenCV • Data Engineering 4x Data Multiplier

Synthetic Data Augmentation & Generation

Engineered an automated synthetic augmentation pipeline utilizing OpenCV and NumPy affine transformations to solve severe class imbalance. Expanded training datasets by 400% and propelled model accuracy upwards from 60% to 87% on edge validation sets.

OpenCV Affine Jitter NumPy +27% Gain
>_ cv2.augment()
Social Impact • Python Desktop + Cloud 90% Efficiency Gain

Animals with Humanity Camp Platform

Architected a full desktop data-management and camp intake platform for animal welfare teams. Replaced chaotic paper logs with encrypted automated record keeping, boosting dispatch and medical triage efficiency by 90% at $0 software license overhead.

Python Desktop PostgreSQL FastAPI Zero Budget
>_ dispatch.sync()
Cybersecurity • MLH National Hackathon Critical Bounty

Hack The Mountains API Security Audit

While participating in Major League Hacking (MLH) Hack The Mountains, I discovered an issue with the Lemma.build API where image inputs were not being correctly sent to the server. I reported the issue to the team, and the problem was subsequently fixed.

REST Triage Auth Tokens MLH Verified
>_ sec_audit.py

// Career Progression

Work Experience & Leadership

Demonstrated engineering results across enterprise telemetry, AI analysis, and community tech.

Systems Engineer

Comscore Inc. • Pune, MH, India

Sept 2025 – Present
  • Drive 24/7 reliability across distributed Linux and Windows hybrid infrastructure, diagnosing node bottlenecks and kernel anomalies.
  • Execute end-to-end data integrity queries and monitoring across Hadoop and Snowflake clusters for over 100+ weekly production jobs.
  • Architect and roll out custom Python daemons and shell scripts that automate routine failovers, replacing manual intervention.

Software AI Analyst Intern

DroneX Systems Pvt. Ltd. • Bhopal, India

Aug 2024 – Oct 2024
  • Accelerated model query latency by 25% through targeted LLM prompt optimization and parameter quantization.
  • Optimized product features, which boosted user engagement by 15%.
  • Worked on front-end in react.js using basic components and backend using FastAPI performing crude operations on a cloud database

IT Head & Technology Intern (Volunteer)

Animals with Humanity (NGO) • Bhopal, India

May 2021 – Jul 2022 (Over 2 Yrs Dedicated)
  • Spearheaded digital camp management software, cutting animal triage record-keeping delays by 90% in field rescue camps.
  • Maintained 100% database availability on zero software licensing budget by optimizing bare Linux servers and open-source stacks.
  • Trained field volunteers on digital inventory, medical records preservation, and emergency route coordination systems.

// Academic Foundation

Education & Core Disciplines

CURRENTLY PURSUING • 2025 – 2028Postgraduate Degree

Manipal Academy of Higher Education (MAHE)

Master of Computer Applications (MCA)

Specialization: Advanced Computing, Distributed Systems & AI Engineering

Advanced Research & Program Focus:

Distributed Computing ArchitecturesAdvanced AI & Neural SystemsCloud Infrastructure & VirtualizationHigh-Concurrency Data Engineering
Degree Status
IN PROGRESS

Expected Conferred 2028

GRADUATED JUNE 2025 Bhopal, MP, India

Lakshmi Narain College of Technology (LNCT)

Bachelor of Computer Applications (BCA)

Concentrations: Computer Utilities • Artificial Intelligence • Machine Learning

Core Technical Coursework:

Data Structures & Algorithms Machine Learning & AI Object Oriented Programming (OOP) Database Management Systems Computer Organization & Arch Probability & Statistics
Cumulative Grade Point
7.52 / 10

Degree Conferred June 2025

// Initialise Handshake

Let's Build Resilient Systems

Available for systems architecture discussions, Python engineering pipelines, or high-concurrency infrastructure consulting.

bash - contact_dispatcher.sh INTERACTIVE