Kamal Sharma - LinkedIn Creator

Kamal Sharma

50K+ Developers | 12M+ Impressions | Technical Trainer → Web Dev · DSA · Development | System Design | AI | Data | Brand Partnerships | DM to Collab

Kamal Sharma is a LinkedIn creator based in Greater Bengaluru Area with 54,464 followers, focused on Upskilling, Coding Tutorials, and Career Development content. Posts average 541 likes and 1.2% engagement. Has worked with brands including Omneky, Zoho One, Go Zero, and Morphic on marketing campaigns.
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8% of my posts go viral. Yours could be next
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Profile Highlights

A quick glance at some key stats
  • 54,464Total Followers
  • 541Avg Likes
  • 132Avg Comments
  • 1.3%Avg Eng.
  • 5Past Collabs
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Engagement Over Time

Visualization of how my engagement on posts has evolved
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My Activity & Engagement Calendar

Visualizing posting frequency and audience engagement over the last 6 months
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Most Engaged Posts

My Top 3 posts with the highest engagement
Kamal Sharma50K+ Developers | 12M+ Impressions | Technical Trainer → Web Dev · DSA · Development | System Design | AI | Data | Brand Partnerships | DM to Collab
𝗜𝗳 𝘆𝗼𝘂 𝗰𝗮𝗻 𝗿𝗲𝗰𝗼𝗴𝗻𝗶𝘇𝗲 𝘁𝗵𝗲𝘀𝗲 𝟮𝟱 𝗗𝗦𝗔 𝗽𝗮𝘁𝘁𝗲𝗿𝗻𝘀, 𝘆𝗼𝘂'𝗹𝗹 𝘀𝗼𝗹𝘃𝗲 𝗺𝗼𝘀𝘁 𝗰𝗼𝗱𝗶𝗻𝗴 𝗶𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀. Most people prepare DSA by solving more questions, completing more sheets, and memorizing solutions. It feels like progress, but interviews rarely reward memorization. Because interviewers don't test how many problems you've solved. They test how quickly you recognize the underlying pattern. For example, Two Sum relies on hashing, Product of Array Except Self follows the prefix-suffix pattern, and Subarray Sum Equals K combines prefix sums with a HashMap. The problems look different, but the thinking behind them is connected. Similarly, Merge Intervals is built on sorting and greedy thinking, while Rotate Array is simply an array reversal pattern. That difference is not practice. It is pattern recognition. Strong candidates don't start by searching for the solution. They identify the pattern first and then adapt it to the problem. If you look closely, most DSA interview questions map to a small set of patterns: • Hashing • Two Pointers • Sliding Window • Prefix Sum • Greedy • Binary Search • Dynamic Programming • Graphs & Trees Interviews simply combine these patterns in different ways. That's why questions feel new, but the logic is not. This is where most candidates struggle. They try to solve more problems instead of mastering the patterns that keep repeating. You don't need 500 random questions. You need a focused set that builds pattern recognition and problem-solving intuition. Most coding interviews are just combinations of these patterns. — Which DSA pattern do you find hardest to recognize? Save this before your next coding interview. Follow Kamal Sharma for interview-focused coding content that actually works. #DSA #LeetCode #CodingInterviews #Python #SoftwareEngineering
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Kamal Sharma50K+ Developers | 12M+ Impressions | Technical Trainer → Web Dev · DSA · Development | System Design | AI | Data | Brand Partnerships | DM to Collab
𝗧𝗿𝘆𝗶𝗻𝗴 𝘁𝗼 𝘀𝗼𝗹𝘃𝗲 𝗮𝗹𝗹 𝟯𝟱𝟬𝟬+ 𝗟𝗲𝗲𝘁𝗖𝗼𝗱𝗲 𝗽𝗿𝗼𝗯𝗹𝗲𝗺𝘀? That’s probably the slowest way to prepare for coding interviews. Even if you solve 2 problems daily, it would take you years to cover them. 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝘀 𝗱𝗼𝗻’𝘁 𝘁𝗲𝘀𝘁 𝗵𝗼𝘄 𝗺𝗮𝗻𝘆 𝗽𝗿𝗼𝗯𝗹𝗲𝗺𝘀 𝘆𝗼𝘂 𝘀𝗼𝗹𝘃𝗲. They test pattern recognition. Once you understand the pattern, many problems suddenly become easier. 𝐇𝐞𝐫𝐞 𝐚𝐫𝐞 𝐩𝐚𝐭𝐭𝐞𝐫𝐧-𝐛𝐚𝐬𝐞𝐝 𝐋𝐞𝐞𝐭𝐂𝐨𝐝𝐞 𝐥𝐢𝐬𝐭𝐬 𝐲𝐨𝐮 𝐜𝐚𝐧 𝐮𝐬𝐞 𝐟𝐨𝐫 𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞𝐝 𝐩𝐫𝐞𝐩𝐚𝐫𝐚𝐭𝐢𝐨𝐧: → If you’re learning 𝑻𝒘𝒐 𝑯𝒆𝒂𝒑𝒔, go for this list: https://lnkd.in/g4ZujG3f → If you’re learning 𝑨𝒓𝒓𝒂𝒚𝒔, go for this list: https://lnkd.in/g76zXnXM → If you’re learning 𝑩𝒂𝒄𝒌𝒕𝒓𝒂𝒄𝒌𝒊𝒏𝒈 : https://lnkd.in/gRyUwRwx → If you’re learning 𝑫𝒚𝒏𝒂𝒎𝒊𝒄 𝑷𝒓𝒐𝒈𝒓𝒂𝒎𝒎𝒊𝒏𝒈 : https://lnkd.in/g7d3srg4 → If you’re learning 𝑭𝒂𝒔𝒕 & 𝑺𝒍𝒐𝒘 𝑷𝒐𝒊𝒏𝒕𝒆𝒓𝒔 : https://lnkd.in/gMFMdpac → If you’re learning 𝑮𝒓𝒂𝒑𝒉 𝑻𝒓𝒂𝒗𝒆𝒓𝒔𝒂𝒍 : https://lnkd.in/gERuQKxW → If you’re learning 𝑻𝒓𝒂𝒗𝒆𝒓𝒔𝒂𝒍 𝒐𝒇 𝑳𝒊𝒏𝒌𝒆𝒅 𝑳𝒊𝒔𝒕 : https://lnkd.in/ghnukhZU → If you’re learning 𝑲-𝒘𝒂𝒚 𝑴𝒆𝒓𝒈𝒆 : https://lnkd.in/grTWmfha → If you’re learning 𝑴𝒆𝒓𝒈𝒆 𝑰𝒏𝒕𝒆𝒓𝒗𝒂𝒍𝒔 : https://lnkd.in/gY5kjQY5 → If you’re learning 𝑴𝒐𝒅𝒊𝒇𝒊𝒆𝒅 𝑩𝒊𝒏𝒂𝒓𝒚 𝑺𝒆𝒂𝒓𝒄𝒉 : https://lnkd.in/gTMY2xwp → If you’re learning 𝑺𝒍𝒊𝒅𝒊𝒏𝒈 𝑾𝒊𝒏𝒅𝒐𝒘 : https://lnkd.in/gu6aftYs → If you’re learning 𝑻𝒐𝒑 𝑲 𝑬𝒍𝒆𝒎𝒆𝒏𝒕𝒔 : https://lnkd.in/gQx3bTHr → If you’re learning 𝑻𝒐𝒑𝒐𝒍𝒐𝒈𝒊𝒄𝒂𝒍 𝑺𝒐𝒓𝒕𝒊𝒏𝒈 : https://lnkd.in/gPKGmF_E → If you’re learning 𝑻𝒓𝒆𝒆 𝑩𝑭𝑺 : https://lnkd.in/gjfwddGt → If you’re learning 𝑻𝒓𝒆𝒆 𝑫𝑭𝑺 : https://lnkd.in/gMkuENbH → If you’re learning 𝑻𝒘𝒐 𝑷𝒐𝒊𝒏𝒕𝒆𝒓𝒔 : https://lnkd.in/gdswkDVF 𝗦𝗺𝗮𝗿𝘁 𝘄𝗮𝘆 𝘁𝗼 𝘂𝘀𝗲 𝘁𝗵𝗶𝘀: Pick one pattern. Solve 2 problems daily. After each problem, write a quick takeaway: • Approach used • Bug you hit • What you’ll try first next time Do this consistently for 4–6 weeks and your problem-solving will improve significantly. 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲 𝗯𝗲𝗮𝘁𝘀 𝗿𝗮𝗻𝗱𝗼𝗺 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲. 𝗖𝗼𝗻𝗻𝗲𝗰𝘁 𝘄𝗶𝘁𝗵 𝗺𝗲 𝗖𝗼𝗺𝗺𝗲𝗻𝘁 “𝗗𝗦𝗔” 𝗼𝗿 𝗗𝗠 𝗺𝗲 𝗶𝗳 𝘆𝗼𝘂 𝘄𝗮𝗻𝘁 𝘁𝗵𝗶𝘀 𝗮𝘀 𝗮 𝗱𝗼𝗰𝘂𝗺𝗲𝗻𝘁. #LeetCode #DSA #CodingInterview #SoftwareEngineer #TechCareers #InterviewPreparation
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Kamal Sharma50K+ Developers | 12M+ Impressions | Technical Trainer → Web Dev · DSA · Development | System Design | AI | Data | Brand Partnerships | DM to Collab
𝗜𝗳 𝘆𝗼𝘂 𝗰𝗮𝗻 𝘀𝗼𝗹𝘃𝗲 𝘁𝗵𝗲𝘀𝗲 𝟳𝟱 𝗗𝗦𝗔 𝗽𝗿𝗼𝗯𝗹𝗲𝗺𝘀, 𝘆𝗼𝘂’𝗿𝗲 𝗮𝗹𝗿𝗲𝗮𝗱𝘆 𝗮𝗵𝗲𝗮𝗱 𝗼𝗳 𝗺𝗼𝘀𝘁 𝗶𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗰𝗮𝗻𝗱𝗶𝗱𝗮𝘁𝗲𝘀. Most people prepare DSA by trying to solve more questions—more sheets, more variations, more practice. It feels like progress, but the improvement slows down in interviews. Because interviews don’t test how many problems you’ve seen. They test how quickly you recognize patterns. For example, problems like Two Sum, 3Sum, and Container With Most Water look different, but rely on the same core ideas like two pointers or hashing. Similarly, Maximum Subarray and Best Time to Buy & Sell Stock follow the same pattern of running optimization. Merge Intervals and Merge Sorted Array use the same approach of sorting and merging, even though the inputs look different. That difference is not practice. It is pattern recognition. Strong candidates don’t memorize solutions. They identify the pattern early and choose the right approach. If you look closely, most problems map to a small set of patterns: • Sliding window • Two pointers • Hashing • Stack • Greedy • Prefix sum Interviews just mix these patterns. That’s why questions feel new, but the logic is not. This is where most people get stuck. They try to solve more problems instead of understanding what actually repeats. You don’t need 500 problems. You need a focused set that builds clarity, speed, and decision-making. Most interview questions are just variations of these patterns. — Which DSA pattern do you find hardest to recognize? Save this before your next coding interview. Follow Kamal Sharma for interview-focused DSA content that actually works. #DSA #LeetCode #CodingInterview #SoftwareEngineering #TechCareers
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Collaboration History

Last Updated At: 01-07-2026
Brands I've partnered with in the past
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Content Focus

Niche categories & topics I majorly focus on
Technology & Software Development
Learning & Skill Development
Careers & Job Search
Artificial Intelligence
Marketing & Advertising
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Audience Types

Last Updated At: 01-07-2026
Demographics of my audience & community

Top Role

Software Engineer
Full Stack Engineer
Data Engineer
Data Analyst
System Engineer

Top Locations

Greater Bengaluru Area
Greater Delhi Area
Greater Hyderabad Area
Pune/Pimpri-Chinchwad Area
Greater Chennai Area

Top Seniority

Entry
Senior
Training
Manager
Director

Frequently Asked Questions

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