About
Experienced Software Engineer with a demonstrated history of working in the internet…
Activity
5K followers
-
Anoop Mishra liked thisAnoop Mishra liked thisLast week, depthfirst.com announced its Series B funding round, and we raised it pretty quickly after Series A. **We’re hiring engineers across all levels.** We’re building products around improving software security using AI, and for the world of AI. -> Software security is one of those domains where you may not have practical experience in, and maybe only know it as a vague collection of acronyms. If you're concerned with unfamiliarity, we are doing a lot of product building work that can introduce you to the security world nicely. -> Perks: a great and down to earth engineering team with strong responsibility, a startup culture that naturally pushes ownership onto you(in a nice way), and a team that keeps up with changes in the AI world at a pace I’m still struggling to keep up with myself. Please DM me in case you're interested in exploring job roles/ask any questions.depthfirst | Autonomous Security from Design to Productiondepthfirst | Autonomous Security from Design to Production
-
Anoop Mishra liked thisAnoop Mishra liked thisI’m looking for an Engineering Manager to help us build 0-to-1 category-defining Benefits products. 🚀 We are architecting complex money movement systems and redefining the entire user experience through an AI-native lens. If you love deep technical systems and want to shape the future of how people consume their benefits, let’s talk. The Role: Engineering Manager, Benefits Flex Products Apply here: https://lnkd.in/ghMQayPX
-
Anoop Mishra liked thisAnoop Mishra liked thisI’m excited to share that I’m joining Decagon! After ~6.5 rewarding years at Rippling working with some truly amazing people, I had a pretty high bar for what I wanted to do next. The Decagon team stood out for their ambition, speed of execution, and raw smarts -- and what they’ve already shipped with such a lean team is super impressive. On that note - we’re growing really fast and hiring across the board in SF/NYC/London. If you’re interested in tackling hard engineering problems in frontier AI, please reach out!
-
Anoop Mishra liked thisAnoop Mishra liked thisIts been 10 days since I first raised complaint with Jeeves for my TV. I bought it in Oct 2023 and purchased an extended warranty of two years for complete protection of TV. Policy copy was sent to my email from Jeeves Support • no-reply@flipkart.com. On 4th Nov 2025 TV stopped working and I filed a complaint with Jeeves Support on 5th Nov to get it fixed. Post that, what I have been witnessing is, complete shamelessness, unprofessionalism and customer regards as such. I have been reaching out to them almost every or alternate day they have been constantly closing the complaint without doing anything with remark as customer not responding without even reaching out to me. Even after reaching out to senior desk, result remains unchanged. Jeeves do you have any upper level limit in terms of time(10 days, a month, an year or may be before I turn 60) within which I can expect to get it resolved? Flipkart Flipkart Support Flipkart Home Services
-
Anoop Mishra liked thisAnoop Mishra liked thisSomething remarkable happened this week. Our AI security agent discovered and patched a zero-day vulnerability in Netty, one of the internet’s most widely used networking libraries (relied on by companies like Apple, Meta, and Google). The flaw, now assigned CVE-2025-59419, could have allowed attackers to forge emails that appeared to come from inside a trusted organization, bypassing every modern safeguard (SPF, DKIM, DMARC). Here’s what’s extraordinary: - No human found this bug. No human wrote the patch. - Our AI agent did. It autonomously analyzed live code, identified the root cause, generated a fix, and submitted it upstream. This is more than a single discovery. It’s a glimpse of what comes next. For decades, security has been reactive - humans chasing an ever-expanding attack surface. But the next chapter is autonomous defense: AI systems that find, fix, and fortify software at machine speed. Human expertise remains essential - but increasingly as orchestrators, not operators. The new frontier is collaboration between people and intelligent agents working in real time across the world’s software supply chain. Huge thanks to the Netty maintainers for their openness and partnership. And to every CISO, CIO, and security leader: the shift to autonomous security isn’t theoretical anymore. It’s happening. #AISecurity #ZeroDay #Cybersecurity #AutonomousDefense #AIagents #Netty #FutureOfSecurity
-
Anoop Mishra liked thisAnoop Mishra liked thisRippling's Infra Team (a.k.a. our team) had an offsite today at Area 83 (somewhere at the outskirts of Bengaluru) and of all the games that we played at the venue, we had the most amount of fun playing Mafia (with UNO cards) and "Ek Machhli paani mein gayi chhapaak" (https://lnkd.in/gFxadaZq) ! The Mafias and the Villagers, each won one round. Aditya was our star player defeating Prince 2 times in a row at "Ek Machhli paani mein gayi chhapaak" (Aditya claims that he played the game for the first time!!) Shekhar Asim Hari Saiful Amitosh Abhishek Pranav Utkarsh Rohit Raghuram #rippling #infra
-
Anoop Mishra liked thisAnoop Mishra liked this🚀 Presenting CODE-PILOT: Revolutionizing Semantic Search and Document Exploration! CODE-PILOT is a robust tool meticulously crafted to unravel intricate codebases and textual archives. With CODE-PILOT, users can: - Effortlessly navigate content within Git repositories. - Conduct context-aware semantic searches transcending simple keyword matching. - Acquire actionable insights from extensive and varied document compilations. Key Features: 💡 Streamlined Chunking & Indexing: Dynamically segmenting large files and embedding them using cutting-edge ML models like "all-MiniLM-L6-v2" / "microsoft/codebert-base" etc. 🔍 Seamless FAISS Integration: Empowering high-performance similarity searches through FAISS vector databases. 🛠️ Interactive Query Interface: Adopting a conversational approach to refine queries and extract precise responses. The development of CODE-PILOT entailed a voyage filled with technical hurdles and gratifying revelations: from harnessing embeddings for precise document retrieval to optimizing workflows for memory efficiency and beyond... 💻 GitRepo: https://lnkd.in/gtjZaP9U #SemanticSearch #NLP #FAISS #GitIntegration #AI #MachineLearning
Experience
-
-
-
-
-
-
-
-
-
-
-
-
-
Education
Projects
-
Video Forgery Detection(Frame Insertion Only)
-
It identifies whether the given video is original or tempered (with insertion of frames). It uses edge detection, incoming edge per frame, outgoing edge per frame to find all the possible places where the video could have been tempered.
Tools Used:- Matlab
Library :- OpenCVOther creators -
-
Hand gesture recognition using HMM
-
It is a machine learning project, which uses Hidden Markov Model for training and prediction. It was trained over 7 human hand gestures and able to predict with 70% of accuracy.
Library Used :- OpenCVOther creators -
Languages
-
English
Professional working proficiency
-
Hindi
Native or bilingual proficiency
Other similar profiles
Explore more posts
-
Henry Tran
Aakash Gupta posted a really interesting set of learnings sitting down with a fintech executive from Robinhood. One key learning that resonated with me is: re: Legal, "Assume Good Intent - They're not there to make the product worse. Their job is to make sure that we are safely shipping the products we want to ship in accordance with the regulations." A partner in Fraud once said to me, "Henry, don't think of us as a gate. Think of us as your business partners trying to give you the best advice. Imagine if our role didn't exist, it would be your job to think of all of the angles that might attack your product." That was phenomenal advice that helped me re-calibrate my working partnerships with legal, risk, compliance, and other teams.
1 Comment -
Ashish Kumar Singh
When Claude Code Joined Our Team in the Middle of a Tech Scavenger Hunt Yesterday, our randomly assembled team of four engineers joined an intense tech scavenger hunt at InMobi Encore2025 - packed with coding challenges and technical riddles. The team: Me (Staff Engineer – Frontend) An SDE2 – ML An SDE3 – Backend Another Staff Engineer – Backend One puzzle stopped us cold: two giant parquet datasets (~750K rows each) hiding a riddle about bids, floors, installs, and a “final pattern” buried deep inside. My teammates? Instantly spinning up Databricks, notebooks, pandas. Me? No relevant setup. No DS tools. Just sitting there, watching the clock tick, feeling like dead weight. 💡 The Lightbulb Moment "Why not try Claude Code?" I dropped the datasets and riddle in with few more lines of instructions. And while we were still stuck on the first step, Claude tore through: Filtering down to iOS/Android Checking bid floors Finding the winning ads (render + click + install) Merging on impression_id Revealing a Fibonacci sequence in time_to_install Answer: 34. “Guys, just enter 34.” Suspicious stares. A pause. Then… Correct! That single AI-powered leap saved us 10-15 minutes and flipped the game. From that point on, Claude became our fifth teammate. Takeaways: In tech, the boldest move is often trying what looks unconventional AI can be a genuine partner in problem-solving Resourcefulness > perfect setup And sometimes, success in uncharted territory comes from being willing to try what others dismiss I may not have written a line of pandas, but being open to AI meant I could unlock value my team didn’t expect. PS: We didn’t win the contest, but we came very close — only to be tripped up in the last round that required us to actually run around the office for the answer. Turns out, AI has its limits 😉 #AI #Engineering #ProblemSolving #Teamwork
2 Comments -
Kumar Pratik
We once had a backend incident that, on paper, should've been a major outage. But nothing happened. Users kept browsing, ordering, and moving on with their day. Our fallbacks quietly took over. Under our old metrics, this would've counted as downtime. But was it really? That question changed how we think about uptime at Meesho. We stopped measuring system health and started measuring user outcomes - can the customer complete their order? Can the seller fulfill it? Simple shift. Massive impact on how we engineer, invest, and own reliability. https://lnkd.in/gqDnb9q3 Siddharth Gupta Amlan Sekhar Das
4 Comments -
udita shukla
When I lived in Hyderabad, one of my favorite restaurants was Chutneys. When they opened a branch in Inorbit Mall, I was genuinely happy because it was closer to where I lived. What surprised me was the scale of their waiting area. In an expensive mall like Inorbit, Chutney’s had invested in a large, comfortable waiting space with luxurious sofas, almost indistinguishable from the actual seating area. I remember thinking the investment must have been huge, but it made the experience feel effortless. People could wait without feeling frustrated, even during peak hours. I experienced something similar in a very different context a year or two ago, while admitting my child to school. For some reason, we reached the admission venue two hours early on a weekday. Only after arriving did we realize we had forgotten our documents at home. We rushed back, we got the folder, and everything worked out. Had we arrived just in time, we would have missed the admission entirely. Given how selective the school was, that would have meant losing a carefully chosen opportunity or creating a lot of avoidable stress. Much later, while reading Thinking in Systems, these two incidents suddenly connected. Donella Meadows talks about buffers as one of the most powerful but often misunderstood elements of a system. A buffer is simply the size of a stabilizing stock relative to its flows. Time, inventory, space, patience, slack, and margin are all buffers. Buffers come at a cost. Maintaining extra capacity, time, or inventory always feels inefficient. Reaching two hours early meant taking time away from something else. Chutney’s waiting area meant higher real estate and furnishing costs. But buffers exist precisely to absorb variability and uncertainty. They prevent systems from failing when reality does not behave as planned. Buffers also reduce oscillations. For example, manufacturing systems that respond to rising demand by aggressively increasing orders, only to be overwhelmed with excess inventory when demand falls. Without adequate buffers, delays and overreactions amplify swings. With buffers in place, the same system becomes calmer, more predictable, and far less stressful to operate. Whether in supply chains, restaurants, or our personal lives, buffers act as shock absorbers. They smooth fluctuations, reduce anxiety, and prevent small mistakes from cascading into major failures. Not everyone can afford large buffers all the time, but Thinking in Systems makes one thing clear: systems without buffers are brittle. Sometimes, all you need is a little margin.
6 Comments
Explore top content on LinkedIn
Find curated posts and insights for relevant topics all in one place.
View top contentOthers named Anoop Mishra in United States
23 others named Anoop Mishra in United States are on LinkedIn
See others named Anoop Mishra