Software Developer | @leetcode Knight | 4β @geeksforgeeks | 3β @codechef | Competitive Programmer
Joined June 2023
- Tweets 1,027
- Following 104
- Followers 163
- Likes 887
219 Photos and videos
One of the Most easiest problem I have ever seen on Leetcode is: 1431. Kids With the Greatest Number of Candies.I have attached the solution.If anyone has better approach please share.
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Jun 7
Back to DSA after quite some time.
Solved "Create Binary Tree From Descriptions" using a hashmap set approach to efficiently build the tree and identify the root node.
A small problem, but a good reminder that consistency matters more than speed. One problem at a time.
#DSA
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Apr 15
Number of Enclaves Explained π₯ | DFS Grid Problem | LeetCode | Step-by-S... youtu.be/sCuNWnSy2Ms?si=2lbRβ¦ via @YouTube
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Apr 13
Surrounded Regions | LeetCode 130 | DFS Graph Problem | Full Explanation... youtu.be/f4fqx0jQlC4?si=9RT2β¦ via @YouTube
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Apr 13
Solved: Surrounded Regions (LeetCode 130)
Key Learning: Reverse thinking DFS on boundaries π₯
Next up: Even more powerful graph problems π
Stay tuned π
youtu.be/f4fqx0jQlC4
#DSA #Graphs #CodingJourney #LeetCode
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Apr 6
0/1 Matrix Problem Explained π₯ | Multi Source BFS | Crack Interviews Fast youtu.be/CRMcPzapets?si=CqTJβ¦ via @YouTube
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Apr 5
Started from 0.
No audience. No support. Just consistency.
Iβm building my coding YouTube channel from scratch π»
If you believe in growth, support me hereπ
youtube.com/@technicallaunchβ¦
One day this will be BIG π
#buildinpublic #coding #startup
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Mar 13
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Feb 3
I am leaving this 100 days challenge, now everything is done for me. Thanks to all of you who supported me till this point.ππ
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Feb 2
Day 26 β Caching & Reuse
Cache frequent prompts and responses.
Reuse embeddings across queries.
Reduces cost and latency at scale.
Donβt recompute what you can reuse. π
#GenAI #BuildInPublic
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Feb 1
Day 25 β Human-in-the-Loop
Critical decisions need human review.
HITL reduces risk and improves quality.
Automation works best with oversight.
Humans close the loop. π
#GenAI #BuildInPublic
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Jan 30
Day 24 β Privacy & Security
GenAI systems must protect user data.
PII handling, access control, and secure storage are critical.
Security isnβt optional at scale.
Trust is built, not assumed. π
#GenAI #BuildInPublic
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Jan 27
Day 23 β Data Quality
Model performance depends on input quality.
Clean, relevant data > more data.
Bad data amplifies hallucinations.
Garbage in, garbage out. π
#GenAI
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Jan 26
Day 22 β Versioning & Experimentation
Prompts, models, and pipelines must be versioned.
A/B testing reveals what actually works.
Reproducibility beats intuition.
Ship, measure, iterate. π
#GenAI #BuildInPublic
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Jan 22
All these for 1.8-2.4LPA.
A company is visiting in my college for placement drive. It requires all these skills.π₯Ί
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Jan 22
Day 21 β Observability
Production GenAI needs visibility.
Logs, traces, and metrics reveal failures and costs.
You canβt improve what you canβt observe.
Debugging starts with insight. π
#GenAI
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Jan 21
Day 20 β Orchestration
Complex GenAI systems need orchestration layers.
Manages models, tools, memory, and workflows.
Enables scalable, multi-step pipelines.
Systems > prompts. π
#GenAI #BuildInPublic
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Jan 20
Day 19 β Streaming & Real-Time Responses
Streaming sends tokens as theyβre generated.
Improves perceived latency and UX.
Critical for chat, voice, and agent workflows.
Speed feels smarter. π
#GenAI
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Jan 19
Day 18 β Multimodal Models
Multimodal models handle text, images, audio, and video together.
They enable cross-modal reasoning and richer interactions.
Use cases go beyond chat: vision, voice, and agents.
One model, many senses. π
#GenAI
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