https://dream.weekday.works/redirectToHiringCopilotExtension/

Chief Technology Officer @ Sparklin | Co-Founder @ Openvy

Sourabh Shankar

Founder Openvy.com — AI-enabled, Pop-culture Listing. Attempting fiction & design book. Psychology. Storytelling. Thinking Design.

Himanshu Khanna

Head of Design at Sparklin

Mayank Barolia

Angela Morris

Sparklin is a human-focused design company, helping businesses scale through experience betterment. Sparklin uses design to effectively solve experience problems, in line with its core belief - 'Experience Better'. Sparklin is dedicated to helping companies of all sizes and boasts of a diverse client portfolio of large corporations, small and mid-sized companies, young and buzzing startups. Sparklin's client portfolio includes ICICI Bank, PayTM, Chaayos, Airmeet, Yelo, NowFloats, Hindustan Times, Micheal & Susan Dell Foundation, Spectra, Taxmann, MyUpchar, Tata Docomo, Cactus Consulting, Srijan, Pricebaba, HomeShop18, Delhivery, FreshMenu, Enhancesys, WeAreHolidays, Medianama, iSpirit, EnGuru, ConveGenius, The Teacher App, Breakthrough and Central Square Foundation amongst others.

Know someone so amazing whose ideas are a little too out of the box? If this is you, we’d love to team up with you! Join our tribe of obsessive rebels ✨ We're on the lookout for inventive UX/UI Designers, Content Writers, Talent Managers, and Software Engineers. Apply now at hello@sparklin.com to get in touch. #WeAreHiring #Design #RemoteWork

Sparklin

Indian e-commerce giants like Ajio, Myntra, Nykaa and Flipkart might soon be ancient history 📉 Read how the Indian consumer psychology is shifting on our blog here: https://lnkd.in/g4trAkHW #QuickCommerce #ECommerce #Trends #Shopping #Online #Design #UX #ConsumerPsychology

Sparklin Design Tip 348 is a UX tip! ✨ Add media controls directly to the browser tab. This allows users to manage features quickly without navigating away, increasing convenience and efficiency. #UX #Design #BrowserTabs #DesignTip #ExperienceBetter

I thought being a great engineer was enough. That was 5 years ago. I believed that writing clean code, solving complex algorithms, and delivering on time were the ultimate measures of growth. When I started my product-building journey with Sparklin in 2020, I faced my first reality check. I realized that technical skills, while essential, are just one piece of the puzzle. In the first few months, I struggled to look beyond my code. I questioned everything: 🤷♂️ Do I have what it takes to build something meaningful? 🤷♂️ Why is thinking from the user's perspective so hard? 🤷♂️ How do I make decisions with so many unknowns? It felt easier to stick to what I knew. But as I leaned into the discomfort, I discovered how showing up every day is as critical as… 💯Solving the right problems, with the right people 💯 Here’s what an engineer truly needs to make an impact: ✨ Problem-solving is more than fixing bugs Understand the root cause, weigh trade-offs, and find solutions that add real value. ✨Teamwork isn’t just collaboration — it’s synergy Build trust, listen actively, and align goals to make the team unstoppable. ✨ Decisions made under pressure define outcomes Trust your instincts and take calculated risks. ✨ Failure isn’t a setback; it’s a teacher Each misstep sharpens your resilience and refines your approach. ✨ Start thinking for the user Instead of designing a feature you think is “cool,” you interview users to understand their pain points. ✨ Feedback is a gift that keeps on giving Ask for it, act on it, and accelerate your growth. ✨ Adaptability is key Processes change, priorities shift, and with them, you must evolve. ✨ Clarity in thought equals clarity in action Writing things down aligns ideas with execution. ✨ Focus on outcomes, the journey will follow Results matter—they shape how the journey unfolds. You need to be a problem-solver, a collaborator, a decision-maker, and most importantly, someone who learns every step of the way. And when you embrace these roles, you start seeing the bigger picture — beyond the code, beyond the product, and into the impact you can create. For me, this journey at Sparklin has been and continues to be a masterclass in growth. What lessons have you collected on your product journey so far? ✨

Rohit Rajan

✨ Fridays are the drumroll for the main event—the weekend! ✨ But... who actually invented weekends? 🤔 Read the full blog here: https://lnkd.in/g5sGWXPJ #Weekend #Friday #Inventions #Facts #Discover #TodayILearned

Everyone’s favourite typewriter ✨ #UXUI #UserExperience #Typerwriter #ASMR #Design #Recommendations

Levelling up IRL with Ishant Garg 🎮🎉 Happy birthday to the lifelong gamer with the best stats: 100% chill guy, 101% design skill, and unlimited Otaku vibes ✨ #Celebrations #RemoteTeam #Sparklin #Birthdays

Sparklin Design Tip 347 is a UX tip! ✨ Use content outlines to structure long-form pieces. They help readers navigate the text & enable writers to organize ideas effortlessly. #UXDesign #ExperienceBetter #UXUI #UXDesigners #DesignTip #Formatting #Writing #Essays #Blogs #DesignCommunity

Celebrating half a Sparklin decade with the pun-derful programmer and Bollywood music-head Rohit ✨ Cheers to more blockbuster projects, brilliant coding, and making the software world a better place 💫 #WorkAnniversary #Technology #Backend #Innovation

Wishing a Sparklin treble to the designer with big dreams, a raging otaku spirit, and a gamer’s heart, Ishant 🎮✨ Cheers to the ultimate friend-maker and world-changer in the making ⏰ #WorkAnniversary #Design #UXUI #RemoteTeam

Built frontend interfaces for app.simplismart.ai, an MLOps orchestration platform, focusing on scalable architecture, state management, and adaptive layouts. Worked on complex UI components, data visualizations, and backend integrations.

Contributed to backend APIs for multi-cloud MLOps orchestration (AWS, GCP, Azure) using Django, handling ML model deployments and Orchestration. Developed an async transcription service with Whisper, Celery, and Redis and migrated the marketing site to Webflow, enhancing SEO and performance.

Vice President & Asia Business Head @ RapidCanvas | SaaS | No Code | AI | Data Science | MLOps

Saurabh Thakral

Simplismart | IIM Ahmedabad | Duke

Pratheek Remesh Menon

Machine Learning Engineer @ Simplismart | Machine Learning | Data Scientist | AOSP

Pranav Thombare

Building Simplismart | BITS Pilani | ex-Google

Devansh Ghatak

Google for Startups

Fastest inference for generative AI workloads. Simplified orchestration via a declarative language similar to terraform. Deploy any open-source model and take advantage of Simplismart’s optimised serving. With a growing quantum of workloads, one size does not fit all; use our building blocks to personalise an inference engine for your needs. ***API vs In-house*** Renting AI via third-party APIs has apparent downsides: data security, rate limits, unreliable performance, and inflated cost. Every company has different inferencing needs: *One size does not fit all.* Businesses need control to manage their cost <> performance tradeoffs. Hence, the movement towards open-source usage: businesses prefer small niche models trained on relevant datasets over large generalist models that do not justify ROI. **Need for MLOps platform*** Deploying large models comes with its hurdles: access to compute, model optimisation, scaling infrastructure, CI/CD pipelines, and cost efficiency, all requiring highly skilled machine learning engineers. We need a tool to support this advent towards generative AI, as we had tools to transition to cloud and mobile. MLOps platforms simplify orchestration workflows for in-house deployment cycles. Two off-the-shelf solutions readily available: 1. Orchestration platforms with model serving layer: *do not offer optimised performance for all models, limiting user’s ability to squeeze performance* 2. GenAI Cloud Platforms: *GPU brokers offering no control over cost* Enterprises need control. Simplismart’s MLOps platform provides them with building blocks to prepare for the necessary inference. The fastest inference engine allows businesses to unlock and run each model at performant speed. The inference engine has been optimised at three levels: the model-serving layer, infrastructure layer, and a model-GPU-chip interaction layer, while also enhanced with a known model compilation technique.

Provider of AI-based no-code machine learning platform

Bengaluru Startup Simplismart Steals the Show! While hardware giants like NVIDIA , Groq , and Cerebras Systems race for the fastest inference, Simplismart takes a different path—focusing on software innovation to revolutionize AI deployment Led by ex- Oracle and Google engineers, Simplismart’s model-agnostic, chip-agnostic platform boasts record-breaking speeds, such as 343 tokens/sec for Llama 3.1 8B, without relying on proprietary hardware. Their MLOps platform empowers enterprises to fine-tune and deploy AI models with unmatched efficiency and control, keeping privacy and autonomy front and center. With $7M in funding from Accel and others, this Bengaluru-based startup is proving you don’t need hardware to win the AI race. Speaking with AIM, Amritanshu Jain , the co-founder and CEO, quickly clarified that Simplismart isn’t looking to enter the hardware race. Curious about their story and vision? Read more here 👉 https://lnkd.in/giAvXtTi Devansh Ghatak

Llama3-8B working at over 330 tokens per second is fast! This is the fastest inference time on Nvidia chips that I've seen. Look at the attached comparison and how @SimplismartHQ is way ahead of everyone else. Speed makes a huge difference, but that's only one aspect when deploying AI applications at scale. Companies are finding out the hard way that MLOps is critical to build anything serious. It's not just about choosing and deploying a model, but you also need to worry about fine-tuning, evaluation, deployment, optimization, and the ability to do it all automatically and repeatedly. SimplismartHQ is an end-to-end MLOps platform for Generative AI models in production: • Fine-tuning • Deployment • Lightning-fast inference • Observability They integrate with AWS, Azure, GCP, and many other cloud providers, so you can scale your deployments as much as you need without breaking the bank. For those of you who are building AI applications, check them out here: https://lnkd.in/eYPA94GX The Simplismart team partnered with me on this post. So far, in 2024, I've seen a massive number of companies focus on building tools for developers. This is huge! I hope the trend continues in 2025.

Santiago Valdarrama

Being the fastest inference engine doesn’t necessarily make you the best, says Amritanshu Jain , co-founder and CEO of Simplismart . Amritanshu believes that demand for specialised AI infrastructure platforms will soon skyrocket, as enterprises move beyond off-the-shelf AI capabilities in favour of greater control over performance, cost, and privacy. Watch Episode 3 of #DecodingAI , where Amritanshu and Anagh Prasad discuss building world-class AI infrastructure from India.

SeedToScale

We're thrilled to present at TechCrunch Disrupt in Moscone West (San Francisco) for the next three days! If you're here and are building Generative AI pipelines, visit our booth, J10, for a free diagnosis of your GenAI workloads. Our audit covers aspects like model quality, inference speed, and cost efficiency, plus a review of data exposure risk. See you there! 🙌

Simplismart

Simplismart is presenting at Techcrunch Disrupt this year! 🙌 The Techcrunch Startup Battlefield competition accepts thousands of applications, and the top 200 selected companies get to present in San Francisco. We will present and set up our booth at Moscone West (SF) for the next three days (28th-30th October), and we can't wait to bring the fastest inference to the Valley. If you're at Techcrunch Disrupt this year, feel free to drop by our booth (J10) to have your Generative AI workloads diagnosed.

Simplismart is thrilled to be at the NVIDIA AI Summit India, and the energy here is unparalleled. We are offering a free audit of your ML pipeline with a complete report generated and sent to you. Come and see if your ML pipelines has any dangerous exposure or any room for optimisation. Head to the G2 Booth right now! This complimentary audit of your current MLOps setup - no strings attached - includes aspects like model quality, speed, and cost optimization, along with a review of your existing data vulnerabilities to find opportunities for enhancement. Super-excited to help you unlock up to 10x better speed and performance through efficient model serving and fine-tuning! Devansh Ghatak Amritanshu Jain Ansh Pratap Singh Tushar Goel Pratheek Remesh Menon

We are at the NVIDIA AI Summit in Mumbai! Find us at our booth - G2. The energy is beyond infectious. We're proud to be an Inception Partner of NVIDIA for this occasion. Just a week ago, Artificial Analysis released the results of their tests, confirming our inference engine is the fastest on NVIDIA chips (graph below!). We are happy to open public access to try out the fastest speed of generative AI models at our exclusive booth during the summit. We hope to see you there! PS: we have some exciting gifts for you too! 😉

We just raised $7 million in a Series A round led by Accel ! At Simplismart , we set out to solve a challenge that we, as ML engineers, knew all too well: pushing AI into production is hard. We've built the fastest inference engine for generative AI workloads. Our E2E MLOps platform helps users train, deploy, and observe generative AI models in production - all enabled via a simple declarative language like Terraform. While our product was in stealth, we served some of the fastest-growing AI companies. We've now crossed $1M in ARR and are thrilled to launch publicly. Check out our speed here: https://lnkd.in/gdFY339G Want to enhance your AI? Let's chat: https://lnkd.in/gRi3qB8b We owe it all to our early believers, supportive customers, and, last but in no way least - our team! Read more here: https://lnkd.in/gvD375XF Amritanshu Jain Devansh Ghatak Accel

Building Simplismart | IIIT - Bhubaneswar

Shripati Pandey

Founding Fullstack Engineer at Simplismart; helped scale the company from pre-seed to Series A ($35M valuation).

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Fine-tune and deploy GenAI models with Simplismart's fastest inference engine. Get started with our optimized deployment for generative AI models & MLOps workflow.