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param dubey
143 posts

param dubey
@para29348
Just trying to get my head around this whole tech and jobbing stuff... Data Analytics Data science Business Analytics Power BI/ Tableau/ Excel
Katılım Ekim 2025
37 Takip Edilen7 Takipçiler

I really envy the people who've cleared 300+ @LeetCode questions and crush contests in under 30 mins....
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Yesterday, I spend 4-5 hours on binary search. Solved 4 questions 1 easy and 3 medium. Seems it does much more than searching. Getting high on @LeetCode and @striver_79 .
Another things that is bothering me is that last 2-3 days ive been doing juste leetcode. Nothing else.!!
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Day 11 of trying to crack a 15+ LPA software job from a tier-3 college by 2027.
Today's progress:
→ followers: 2,570 on X
→ revised DSA:
• Binary Trees
• Building Trees using BFS
• Level Order Traversal
→ revised STL in C++
→ learned Hashing:
• Collision Handling
• Clustering
• Open Addressing
• Linear Probing
• Quadratic Probing
→ learned basics of Cryptography:
• Encryption & Decryption
• Public Key & Private Key
→ Got total 3500 inr for teaching dsa
Today was all about strengthening fundamentals.
Spent time revising core DSA concepts and exploring how hashing works behind the scenes.
Also learned the basics of modern encryption and key-based security.
Small steps compound.
Learn.
Practice.
Repeat.
Just focused on getting 1% better today.
Back again tomorrow.


Dark Coder@dark_coderz
Day 10 of trying to crack a 15+ LPA software job from a tier-3 college by 2027. Today's progress: → followers: 2,455 on X (+45) → revised DSA: • Quick Sort • Binary Search Revision • Binary Tree Revision • BST Revision → problems solved: 1 Today was focused on revision. Went through previous concepts, quick notes, and important patterns to strengthen the fundamentals. No rush. Consistency over intensity. Learn. Practice. Repeat. Just focused on getting 1% better today. Back again tomorrow.
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#AI/ML Engineer (Intern)at #KreedaLabs!!
Job Role: AI/ML Intern
Job Type: Internship (Full-time)
Location: Pune (Swargate) - WFO
Duration: 6 months
Stipend: Paid Internship
Joining: Immediate Joiner
Experience: 3 months to 1 year (Internship)
Key Responsibilities:
• Assist in building and testing machine learning models for real-world use cases
• Support the team in data collection, cleaning, transformation, and analysis
• Experiment with training and optimizing ML models under supervision
• Participate in developing backend components to support AI/ML pipelines
• Explore and implement research papers and open-source solutions as POCs
• Help prototype GenAI applications including RAG-based tools and vector DB integrations
• Collaborate with team members to brainstorm, plan, and deliver AI solutions
• Stay updated with the latest trends and tools in AI, ML, and deep learning
• Document learnings, processes, and model results clearly and concisely
Who Can Apply:
• Final-year students or recent graduates in Computer Science, Data Science, AI/ML, or related fields
• Solid understanding of Python and common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)
• Familiarity with machine learning algorithms and data preprocessing techniques
• Exposure to SQL and data handling techniques
• Basic understanding of cloud platforms like AWS, Azure, or GCP is a plus
• Strong problem-solving attitude and eagerness to learn
• Good communication and teamwork skills
Preferred Skills (Good to Have, Not Mandatory):
• Exposure to GenAI concepts like Lang Chain, RAG, and vector databases
• Hands-on experience with NLP or Computer Vision projects (academic or personal)
• Awareness of MLOps practices or model deployment methods
• Understanding of mathematical foundations behind ML algorithms
What You’ll Gain:
• Mentorship from industry experts and hands-on project experience.
• Opportunity to work on innovative AI/ML solutions deployed in real-world settings.
• Experience with cloud-based platforms and production-grade environments.
• Potential for a Pre-Placement Offer (PPO) based on performance.
Kindly share your resumes on careers@kreedalabs.com
#immediatejoiners
#AI/ML Engineers
#AI/ML Interns
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Alright, I think its high time now that I should start learning trees and graphs in my DSA checklist. Many of @LeetCode daily questions can't be solve by hashing and two pointers anymore.
Going into the lions den, Wish me luck!!
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@manvij5 2 months since I've started my DSA journey. I'll say, Revision is most important thing in dsa, you'll forget concepts/ optimization tweeks here and there. After every new concept or learning, please write it in concise notes format, next day revise it before solving new question.
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@Its_lakshya_ai There's a playlist of krish naik where he made an end to end ml model. He also used docker to deploy. It was very helpful to me personally.
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