vinay sharma
51 posts

vinay sharma
@vinayuser2000
Polymath in my mind 20s Still not there yet....(career is still taking shape) idk ... i will update the bio soon lol
Katılım Ekim 2024
93 Takip Edilen4 Takipçiler

Hello I am using X after a long can guys see my edit and tell me what can I add?
#mahoraga #jujutsukaisen #sukuna #jjkedit #animeamv
youtube.com/shorts/CtQfElf…

YouTube
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I am happy to share with everyone, that I have received an offer from TCS for Digital Role.
Thanks to @striver_79 , @takeUforward_ for helping me in my journey and DSA.

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vinay sharma retweetledi

Complete DSA in 100 days
If you're looking to become Master in DSA This handwritten note will make learning DSA easier.
The handwritten notes include a comprehensive overview of DSA .
You will get:
→ Day to day learning
→ Interview questions
→ Save 300hrs + on Research
→ Complete Roadmap
𝐍𝐨𝐫𝐦𝐚𝐥𝐥𝐲 𝐈𝐭'𝐬 $30 𝐛𝐮𝐭 𝐟𝐨𝐫 𝟐𝟒 𝐡𝐨𝐮𝐫𝐬, 𝐢𝐭'𝐬 𝟏𝟎𝟎% 𝐅𝐑𝐄𝐄!
To get it, just:
1. Like & Reply “DSA“
2. Retweet (much appreciated)
3. Follow me (so that I can DM)

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@abhijitwt Bro can you tell me the same thing for a data analyst? Or any skill which i can learn and earn money because i totally broke
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vinay sharma retweetledi

Ways to earn in USD as a software developer (from India):
- Full-time remote job (US/EU company)
- Freelance hourly contracts
- Long-term retainer contracts
- Indie products / SaaS
- Open-source sponsorships
- Web3 / crypto roles
- Twitter (payouts + inbound deals)
- Consulting (short-term or ongoing)
- Technical advisory roles
- Startup equity + cash contracts
- Dev tooling / paid libraries
- APIs as a product
- Templates / boilerplates
- Courses (niche, technical)
- Paid newsletters
- YouTube (dev-focused)
- Affiliate income (dev tools)
- Bug bounties
- Hackathons (prize-based)
- Remote internships (global)
- Contract-to-hire roles
- White-label software
- SaaS reselling / partnerships
- Plugin / extension marketplaces
- Technical writing (USD publications)
- Community management (dev / Web3)
- Revenue share projects
- No-code / automation builds
- AI agent products
- Angel Investing (riskyyy)
Abhijit@abhijitwt
could we please just round this up to 100 to make the calculation easier?
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vinay sharma retweetledi

Backend in 2026: Learn these 9 skills or get left behind 🥶🔥
1) REST + gRPC APIs
2) Modern Auth (Passkeys > JWT)
3) SQL + NoSQL mastery
4) Redis caching patterns
5) Kafka-level event systems
6) Async & reactive code
7) Microservices + service mesh
8) OWASP + zero trust
9) OpenTelemetry observability
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@Divyansh91565 @mihir_twt Idk how this guy I just randomly got this notification but there is no way you are the sister because talking about gooning that casually is kinda off
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@_jaydeepkarale Can we connect? Just to discuss some important stuff if you don't mind
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📂 Machine Learning Engineer
├─ 📂 Foundations (START HERE)
│ ├─ 📂 Python Basics
│ │ ├─ Variables, loops, functions
│ │ └─ Writing clean Python code
│ │
│ ├─ 📂 Math for ML
│ │ ├─ Linear Algebra (vectors, matrices)
│ │ ├─ Probability
│ │ └─ Statistics
│ │
│ ├─ 📂 Data Handling
│ │ ├─ Pandas
│ │ ├─ NumPy
│ │ └─ Data Cleaning
│ │
│ ├─ 📂 Data Visualization
│ │ ├─ Matplotlib
│ │ └─ Seaborn
│ │
│ └─ 📂 SQL
│ ├─ Joins
│ ├─ Aggregations
│ └─ Window Functions
│
├─ 📂 Core Machine Learning
│ ├─ 📂 ML Fundamentals
│ │ ├─ Bias vs Variance
│ │ ├─ Overfitting / Underfitting
│ │ └─ Train / Test / Validation
│ │
│ ├─ 📂 Algorithms
│ │ ├─ Linear & Logistic Regression
│ │ ├─ Decision Trees
│ │ ├─ Random Forest
│ │ └─ XGBoost
│ │
│ └─ 📂 Model Evaluation
│ ├─ Accuracy, Precision, Recall
│ ├─ ROC-AUC
│ └─ Cross Validation
│
├─ 📂 Deep Learning (LATER)
│ ├─ 📂 Neural Network Basics
│ │ ├─ Perceptron
│ │ ├─ Activation Functions
│ │ └─ Backpropagation
│ │
│ ├─ 📂 PyTorch / TensorFlow
│ │ ├─ Model Building
│ │ └─ Training Loops
│ │
│ └─ 📂 Specializations
│ ├─ NLP
│ └─ Computer Vision
│
├─ 📂 Production & MLOps (LAST)
│ ├─ 📂 Model Deployment
│ │ ├─ FastAPI / Flask
│ │ └─ REST APIs
│ │
│ ├─ 📂 MLOps
│ │ ├─ Experiment Tracking
│ │ ├─ Model Versioning
│ │ └─ Monitoring & Retraining
│ │
│ └─ 📂 Cloud
│ ├─ AWS / GCP / Azure
│ └─ Docker & CI/CD
│
└─ 📂 Career Layer
├─ 📂 Projects
│ ├─ End-to-end ML projects
│ └─ Real datasets
│
├─ 📂 Interview Prep
│ ├─ ML theory
│ ├─ Case studies
│ └─ System design (ML)
│
└─ 📂 Portfolio
├─ GitHub
└─ Blog / Case Studies
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@kmeanskaran What companies are good for ai/ ml? Not talking about mnc tho i guess they will ask for dsa?
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One of the best mathematics books.
You can learn:
- Linear Algebra
- Series
- Logic
- Probability
- Number Theory
- Graphs
These are mostly needed for AI/ML.
PDF: courses.csail.mit.edu/6.042/spring18…

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