Available for opportunities

MOHITH
PINNINTI

B.Tech ECE (AI & ML) · GITAM University, Visakhapatnam

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2
Internships
11K+
Attendees Led
99.1%
Model Accuracy
91%
Test Coverage
Mohith Pinninti
Who I am

I work across the
hardware–software boundary.

I'm a final-year B.Tech ECE student (AI & ML specialization) at GITAM University, Visakhapatnam. My internships have been in embedded systems & robotics — building computer-vision and hand-gesture perception for robotic control — and in optical fibre communication.

I work on both sides of the boundary: firmware bring-up on ESP8266/Arduino-class microcontrollers, sensor and GPIO interfacing, and Python-based test automation and data analysis. I like designing structured, layered systems and then proving them out — unit tests with mocked interfaces, dry-run modes, controlled experiment matrices, reproducible pipelines.

Alongside that I founded ScaleUp Marketing, a digital agency serving local businesses across Visakhapatnam, and led marketing for Shore Fest — a university festival that drew 11,000+ attendees.

ESP8266ArduinoPlatformIOEmbedded C++PythonOpenCVYOLOPyTorchscikit-learnNumPyPandasMATLABReactTypeScriptFlaskSupabaseGitLinux
Embedded & Firmware88%
Computer Vision / Perception90%
Python & ML Engineering90%
Validation & Test Design85%
Digital & Circuit Fundamentals82%
Full-Stack Development80%
Where I've worked

Experience &
Ventures

May–Jun 2026
Robocoupler Industries
Robotics

AI/ML Intern — Embedded Systems & Robotics

  • →Built image-processing and computer-vision pipelines for real-time hand-gesture recognition, translating detected gestures into control commands for robotic systems.
  • →Owned the perception stack end to end — frame capture, preprocessing, hand detection, gesture classification — tuning confidence thresholds against live video rather than recorded clips.
  • →Integrated the vision layer with the robot's embedded control path so recognised gestures triggered physical actuator behaviour on hardware, debugging latency and false-trigger issues that surfaced only once perception met real hardware.
  • →Bench-tested recognition across varying lighting, hand distance and orientation to characterise failure modes, and contributed to build systems and integration workflow for the robotics team.
Oct 2025–Mar 2026
Shore Fest, GITAM
Leadership

Lead of Marketing — Shore Fest

  • →Led a cross-functional team across Design, Media, PR & Outreach and Tech for one of the university's largest cultural & sports festivals.
  • →Planned and executed multi-channel campaigns — performance marketing, social, email, on-ground — that drove over 11,000 student attendees.
  • →Managed the official Shore Fest website via a dedicated tech team, ensuring real-time updates and reliable uptime during peak event traffic.
  • →Coordinated PR outreach, brand partnerships and influencer collaborations to maximise event visibility.
Jun 2025
BSNL India
Telecom

Optical Engineer Intern

  • →Hands-on exposure to optical fibre communication and live telecom infrastructure at a national carrier's Visakhapatnam operations.
  • →Worked alongside field engineers on fibre splicing, cable laying and network maintenance procedures on deployed links.
  • →Observed fault-isolation and link-verification practice on production optical networks, connecting classroom communication theory to physical-layer reality.
Dec 2024–Now
Self-employed
Founder

Founder — ScaleUp Marketing

  • →Founded and independently operate a digital agency serving local businesses across Visakhapatnam — owning client delivery, timelines and reporting end to end.
  • →Built and managed websites, e-commerce pages and social handles for multiple clients, handling content creation, distribution and Meta Ads campaigns.
2023–2027
GITAM University
Education

B.Tech — Electronics & Communication Engineering (AI & ML)

  • →Coursework in VLSI Design (CMOS fabrication, NMOS/PMOS operation, dynamic logic), Digital Electronics, and Embedded Systems & Microcontrollers.
  • →Plus Signals & Systems, Analog & Digital Communication, Communication Networks, and Antenna & Wave Propagation.
What I've built

Featured
Projects

01 / EMBEDDED / HARDWARE

NodeMCU ESP8266 — IR Obstacle Detection Node

Firmware for the NodeMCU 1.0 (ESP-12E) on the Arduino framework via PlatformIO: an IR obstacle sensor on D1 driving a GPIO LED indicator on D2, with a non-blocking 1 Hz heartbeat and a sensor-triggered solid-ON override. Detection polarity is parameterised by a single constant so the same build re-validates against active-low and active-high sensor modules.

Embedded C++PlatformIOESP8266GPIOUART
View on GitHub
02 / COMPUTER VISION

EdgeHive — Perception Edge Node

The camera/perception layer of EdgeHive: real-time object detection on live video with bounding boxes, class labels, per-class counts and on-screen FPS. The detector sits behind a source-agnostic detect(frame) → event interface, so the same module runs against webcam, video file or RTSP input without code changes.

PythonYOLO11nOpenCVRTSP
Private repo — available on request
03 / ML / EXPERIMENTS

Breast Cancer FFNN — Regularization Test Matrix

A feedforward net for benign vs. malignant classification on the UCI WDBC dataset, with a controlled 2×2 optimizer × loss comparison (SGD/Adam × MSE/BCE). Adam+BCE converged in 31 epochs at 99.12% test accuracy and 0.9944 AUC-ROC. Packaged as a modular pipeline that regenerates every plot, metric and the written report in one command.

PyTorchscikit-learnROC-AUCReproducible
View on GitHub
04 / AI / RANKING

RedRob — AI Candidate Ranking Engine

A 7-stage ranking pipeline — parsing, feature extraction, skill matching, experience scoring, weighted aggregation, ranking, reporting — with a multi-factor scoring engine whose weights are tunable independently of pipeline logic. Each stage is an isolated, independently testable module.

PythonNLPPipeline DesignHuggingFace
View on Hugging Face
05 / SYSTEMS

CryptoBot CLI — Binance Futures Trading Bot

A strict 4-layer architecture (Client → Orders → Validator → CLI) with HMAC-signed REST calls, 3× exponential backoff on 5xx errors and rotating log files for post-run fault tracing. Ships a dry-run mode, full input validation on symbol/stepSize/tickSize/balance, and unit tests with mocked HTTP at 91% coverage.

PythonFlaskReactRESTUnit Tests
Private repo — available on request
06 / AI PRODUCT

TalentSia — AI Career Platform

An AI-powered career platform with an ATS-friendly resume builder (skill-gap feedback, match scores), interest-based career matching, and a job recommendation engine that ranks listings by skill compatibility.

ReactTypeScriptSupabaseGemini
Visit Website
Live from GitHub

Public
Repositories

→ github.com/m0hiith

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Let's connect

Got an idea?
Let's build it.

I'm open to roles in embedded systems, robotics and AI/ML — internships, full-time, or freelance builds. Reach out anytime.

mohith4pinninti@gmail.com
LinkedIn ↗GitHub ↗Email ↗+91 70321 16746 ↗Visakhapatnam, IN ↗