adit@portfolio ~ — resume.sh

change color::

~
./skills
./projects
./education
./contact
adit@portfolio:~ $
cat resume.json | jq .
identity
name="Adit Sharma"
role="AI-focused Software Developer"
university="KIET, Ghaziabad"
degree="B.Tech CSE" // 2024–2028
sgpa=8.3 // sem 1–4
SUMMARY
AI-focused Software Developer with experience in building GenAI and ML systems, including agentic workflows, retrieval-based pipelines, and deep learning models. Skilled in end-to-end AI applications using Python, FastAPI, and modern ML frameworks — with hands-on work in LLM-powered agents, NLP systems, and computer vision.
QUICK STATS
GenAI / Agentic Systems
90%
Python / ML Frameworks
88%
Computer Vision
78%
Backend / APIs
82%
MLOps / DevOps
72%
adit@portfolio:~/skills $
ls -la --group-by-category
LANGUAGES
Python JavaScript TypeScript C++ Java
AI / ML & GENAI
LangChain LangGraph Transformers Hugging Face TensorFlow PyTorch Scikit-learn Prompt Engineering LLM Workflows Embeddings ONNX Runtime
FRAMEWORKS & BACKEND
FastAPI Django Flask REST APIs Model Serving API Design Authentication Microservices
CLOUD & DEVOPS
AWS EC2 S3 Lambda CI/CD Basics Linux
DATABASES
MongoDB MySQL Qdrant FAISS Query Optimization Database Design
COMPUTER VISION
OpenCV Pillow (PIL)
TOOLS & PLATFORMS
Git GitHub Docker GitHub Actions Postman Vercel Render Hugging Face Spaces Kaggle
CORE CONCEPTS
DSA OOPs Problem Solving System Design Basics
ADDITIONAL
API Integration
adit@portfolio:~/projects $
git log --oneline --all
feat: Researcho
Researcho: E-Commerce Intelligence Agent Feb–Apr 2026
FastAPI · LangGraph · Gemini API · Qdrant · sentence-transformers
Autonomous e-commerce research agent for structured market analysis.
Multi-step workflows: web search → scrape → retrieve → reason pipeline.
Embeddings-based retrieval with Qdrant for contextual memory across sessions.
Extracts sentiment signals and competitor gap analysis at scale.
⎋ GitHub
feat: NLP Engine
NLP Sentiment Analysis Engine Apr–May 2026
TensorFlow · VADER · ONNX · Flask · Docker · GitHub Actions · Pytest
Hybrid deep learning + VADER pipeline for improved sentiment classification.
ONNX-optimized inference — faster deployment, lower latency.
MLOps: CI/CD via GitHub Actions, Docker containerization, Pytest suite.
Full Flask API with real-time inference and frontend interface.
⎋ GitHub
feat: MedVision
Tumor & Skin Cancer Detection Jul–Aug 2025
ONNX · OpenCV · PIL · Deep Learning · Flask
ONNX-based image classifier for tumor and skin cancer detection.
Efficient preprocessing and inference pipeline for medical images.
Web interface for image upload with visual prediction results.
⎋ GitHub
feat: ONNX Ease
AI Model Hosting & Execution Platform Jan–Mar 2026
AWS Serverless · Lambda · API Gateway · S3 · ONNX
Built a fully serverless platform to upload, manage, and run ONNX models as APIs using AWS Lambda and API Gateway.
Implemented secure model uploads via pre-signed S3 URLs and managed storage with Amazon S3.
Designed REST APIs for model execution, retrieval, and deletion with scalable serverless inference.
Integrated CloudWatch logging for monitoring, debugging, and performance tracking.
Ensured security using IAM roles and API Gateway protection mechanisms.
⎋ GitHub
feat: TicketSys
KIET Ticket Management System Sep–Nov 2025
Next.js · Django · Full Stack Web
Developed a full-stack ticket booking platform for managing seminars, workshops, and campus events.
Designed a modular architecture (UI → Application Logic → Database) using Next.js (frontend) and Django (backend).
Implemented user registration, authentication, and real-time ticket booking workflows.
Built admin dashboard for event creation, pricing control, and ticket tracking.
Developed RESTful APIs with Django and integrated them with a responsive Next.js frontend.
⎋ GitHub
feat: StegoCrypt
StegoCrypt: Encryption & Steganography Web App Jun–Aug 2025
Flask · Python · Cryptography · Steganography
Developed a secure web application for text encryption, image steganography, and image-audio transformation.
Implemented cryptographic techniques using Fernet encryption and SHA-256 hashing for secure data handling.
Built LSB-based image steganography system to hide and extract sensitive information from images.
Designed image-to-audio and audio-to-image transformation pipelines for secure data encoding.
Developed Flask-based backend with interactive UI for real-time encryption and decryption workflows.
⎋ GitHub
adit@portfolio:~/education $
grep -r "certifications" . && cat degree.json
DEGREE
degree
programB.Tech Computer Science & Engineering
institutionKIET Deemed to be University, Ghaziabad
durationSep 2024 → Jun 2028
sgpa8.0 // through semester 4
CERTIFICATIONS
AWS Certified Data Engineer – Associate
Mar 2026 – May 2026
Data pipelines, data processing, and scalable data systems on AWS.
⎋ View cert
AWS Certified Cloud Practitioner
Jan 2026 – Mar 2026
AWS cloud concepts, services, security, and deployment models.
⎋ View cert
Geek Room Certificate
2025
Active participation in technical community initiatives and dev activities.
⎋ View cert
Database Programming with SQL – English
Dec 2025
Award of Completion for satisfactory completion of all coursework covering SQL programming, queries, and database operations.
⎋ View cert
Red Hat Training: Getting Started with Linux Fundamentals (RH104)
2025
Certificate of attendance for foundational training in Linux systems, command-line usage, and core operating system concepts.
⎋ View cert
adit@portfolio:~/contact $
curl -s https://adit.dev/contact | jq .
contact.json
phone : +91-8958077038
Open to internships, collabs, and AI/ML roles
Building in public — check GitHub for latest
Response time: < 24h
✔ NORMAL  |  adit@portfolio AI Developer · B.Tech CSE · KIET --:--:--