Srinath Kalikivayi

AI , Data Integration and Analysis Manager at @Jio Platforms Limited

Learn, Work, Travel,Explore, Capture

[Voice Of Palava @VoiceOfPalava]

Kalyan–Shilphata Road: A Daily Struggle and the Urgent Need for Infrastructure Action

Kalyan–Shilphata Road, once a crucial lifeline connecting Kalyan–Dombivli with Navi Mumbai and Mumbai, has today become a symbol of daily frustration. Severe traffic jams, endless bottlenecks, unchecked population growth, and painfully slow development have turned a short commute into an exhausting, hours-long ordeal.

This is no longer an inconvenience—it is harming livelihoods, risking lives, and slowing the economic progress of an entire region.

The Traffic Crisis on Kalyan–Shilphata Road

Every day, thousands of vehicles crawl on this narrow, overburdened road. The causes are obvious:

- Insufficient road width in Kalyan- Shil Road
- Heavy movement of trailers and industrial trucks
- Unregulated and chaotic junctions
- Multiple incomplete and delayed infrastructure projects

Even ambulances and emergency vehicles get stuck—something unthinkable for a metropolitan region.

Slow Progress of Key Infrastructure Projects

Despite being one of MMR’s most critical mobility corridors, project execution remains extremely slow.

A. Airoli–Katai Naka Elevated Corridor
A project designed to ease congestion is moving at a snail’s pace, worsening bottlenecks instead of solving them.

B. Delays on the Opposite Side of the Palava Bridge
The Xperia-side took nearly 7 years to complete. Now the other side is stuck in similar delays, affecting thousands of daily commuters.

C. Six-Lane Road Expansion Still Incomplete
Land acquisition delays have stalled full widening. Sudden lane narrowing has become a major cause of traffic jams.

D. No Heavy-Vehicle Overbridge at Kalyanphata
With no dedicated overbridge or bypass, trucks and trailers mix with local traffic, causing blockages and frequent accidents.

Need for Faster Transit Development

A. Metro Line 14 (Kanjurmarg–Badlapur)
A game-changing project for the eastern corridor—but no visible progress on the ground. Lakhs of residents remain dependent on overburdened roads.

B. More Public Buses Needed
KDMT, NMMT, and BEST services are far from sufficient. The region urgently needs more frequent, direct bus routes to Mumbai and Navi Mumbai.

Poor Traffic Management at Key Junctions

Junctions such as Katai Naka, Shilphata Junction and Palava lack proper traffic signals and smart control systems.
This leads to constant chaos, random lane-cutting, and breakdown of traffic flow.
Scientific signal planning and automated management systems are essential.

Why Is Kalyan–Dombivli Being Ignored?

Kalyan–Dombivli is one of the fastest-growing zones in MMR. Lakhs of homes have been built. Population growth is among the highest in the region. Industries, warehouses, corporate hubs, and schools are rapidly expanding.

Yet, infrastructure development moves at the slowest pace.
Meanwhile, nearby cities surge ahead, but Kalyan–Dombivli does not get the same urgency or priority.
Where Mumbai and Navi Mumbai get proactive development, Kalyan–Dombivli receives delayed, reactive, and uncoordinated development.

The Way Forward – What Residents Expect

To end the Kalyan–Shilphata traffic nightmare, authorities must urgently:

👉🏻 Fast-track the Airoli–Katai Naka Elevated Corridor
👉🏻 Complete the six-lane widening on Kalyan–Shilphata Road
👉🏻 Start work on Metro Line 14 immediately
👉🏻 Construct a heavy-vehicle overbridge at Kalyanphata
👉🏻 Finish the pending Palava bridg expansion
👉🏻 Introduce more direct buses to Mumbai & Navi Mumbai
👉🏻 Install traffic signals and smart management systems at all major junctions
👉🏻 Start more DMU trains in Panvel- Nilje- Diva route

These are not optional upgrades, they are essential for a region with massive population growth and a rising contribution to the metropolitan economy. #KalyanShilRoad #Palava
@PMOIndia @CMOMaharashtra @narendramodi @Dev_Fadnavis @nitin_gadkari @mieknathshinde @DrSEShinde @RaviDadaChavan @rajupatilmanase @ThaneCityPolice

[Srinath Kalikivayi @SRINATH2603]

@suchitrak @ICICILombard I suggest you should approach IRDAI grievance, may ignore if already done.

[Srinath Kalikivayi @SRINATH2603]

@ANI RCA is identified
Fix Expected in a year

[Srinath Kalikivayi @SRINATH2603]

@TelanganaDGP Congratulations Sir !!!!!

[Elon Musk @elonmusk]

People giving OpenClaw root access to their entire life

[Srinath Kalikivayi @SRINATH2603]

@merishabh_singh @KarthikKalikiv1

[Srinath Kalikivayi @SRINATH2603]

@Krishnasagrawal ML

[Srinath Kalikivayi @SRINATH2603]

@Krishnasagrawal LLM

[Srinath Kalikivayi @SRINATH2603]

Nothing is Impossible!!!!

#impossible
#archery

[Anurag Thakur @ianuragthakur]

SHEETAL DEVI defeats reigning Paralympics & World champ Oznur to claim Compound Women’s GOLD at the Para Archery World Championships 🔥

Huge congratulations to World Para Archery Champion @ArcherSheetal 🇮🇳 🌻

[Srinath Kalikivayi @SRINATH2603]

@telugufilmnagar

[Srinath Kalikivayi @SRINATH2603]

@abhi1thakur 😂

[Srinath Kalikivayi @SRINATH2603]

రావోయి చందమామ మా వింత గాధ వినుమా
రావోయి చందమామ మా వింత గాధ వినుమా

సామంతము గల సతికీ ధీమంతుడనగు పతినోయ్
సతి పతి పోరే బలమై సతమతమయెను బతుకే

#nightlife #Telugu

[LMSYS Org @lmsysorg]

🚀We are thrilled to announce that SGLang now supports OpenAI's latest open-weight model 'gpt-oss-120b', on both Hopper and Blackwell GPUs. Thanks to the collaborative efforts from @Eigen_AI_Labs , @nvidia , SGLang @lmsysorg and the OSS community!

SGLang support landed within 4 hours, and deployment landed within 8 hours of the release—SGLang-Speed in action. 🔥

Next milestones: ⚡️faster kernels, 🧠speculative decoding, 🛠️SWA optimizations, and production-ready tool-call APIs. Details & quick-start guide → https://t.co/pMturp6mRY

We also worked with the Eigen AI team as a beta user for production serving. Try the chatbot & API powered by SGLang at https://t.co/vK3ACuJqcl 🚀

[Srinath Kalikivayi @SRINATH2603]

@APDeputyCMO Sir, It would be more precautionary if the surrounding areas are equipped with anti venom medicines. Availability and accessibility should also be maintained with periodic checks

[Srinath Kalikivayi @SRINATH2603]

#Llama4
#AI

[AI at Meta @AIatMeta]

Today is the start of a new era of natively multimodal AI innovation.

Today, we’re introducing the first Llama 4 models: Llama 4 Scout and Llama 4 Maverick — our most advanced models yet and the best in their class for multimodality.

Llama 4 Scout
• 17B-active-parameter model with 16 experts.
• Industry-leading context window of 10M tokens.
• Outperforms Gemma 3, Gemini 2.0 Flash-Lite and Mistral 3.1 across a broad range of widely accepted benchmarks.

Llama 4 Maverick
• 17B-active-parameter model with 128 experts.
• Best-in-class image grounding with the ability to align user prompts with relevant visual concepts and anchor model responses to regions in the image.
• Outperforms GPT-4o and Gemini 2.0 Flash across a broad range of widely accepted benchmarks.
• Achieves comparable results to DeepSeek v3 on reasoning and coding — at half the active parameters.
• Unparalleled performance-to-cost ratio with a chat version scoring ELO of 1417 on LMArena.

These models are our best yet thanks to distillation from Llama 4 Behemoth, our most powerful model yet. Llama 4 Behemoth is still in training and is currently seeing results that outperform GPT-4.5, Claude Sonnet 3.7, and Gemini 2.0 Pro on STEM-focused benchmarks. We’re excited to share more details about it even while it’s still in flight.

Read more about the first Llama 4 models, including training and benchmarks ➡️ https://t.co/9G3QgVdCkB
Download Llama 4 ➡️ https://t.co/eVomRvEr0w

[PyTorch @PyTorch]

SGLang is now part of the PyTorch Ecosystem! 🚀

This high-performance serving engine for large language and vision-language models enhances speed and control while aligning with PyTorch’s standards.

🔗 Learn more about SGLang and the PyTorch Ecosystem in our latest blog: https://t.co/VmADZqt4qn
👋 Explore the full PyTorch Landscape: https://t.co/gbd8ogyzNM

#PyTorch #MachineLearning #LLMs #AI

[Perplexity @perplexity_ai]

We’re excited to implement @NVIDIA's Dynamo to enhance our inference capabilities.

Processing hundreds of millions of requests demands exceptional performance and reliability. Dynamo will help us scale efficiently as our models advance.

[Jeff Boudier 🤗 @jeffboudier]

What does 2,000 tokens per second feel like? ⚡️

This video is not accelerated, I just asked Llama3 70B if pineapple should be legal on pizza 🍍🍕

This insane speed is powered by @cerebras, the latest Inference Provider integrated on @huggingface.

Try it for yourself - link in 🧵.
GG @andrewdfeldman and team!

[LMSYS Org @lmsysorg]

Aha moment?

SGLang moment!

10K Github Stars till now! Great journey, and love to everyone!

[Srinath Kalikivayi @SRINATH2603]

@DrGokhaleAGK Congratulations Sir!!!!