What is your core engineering focus?

I specialize in architecting highly scalable, deterministic backend systems. Using Python (FastAPI, Asyncio), Next.js, and Azure, my focus is on Sovereign AI and Institutional-Grade web pipelines. I don't build simple UI wrappers; I build defensive 'Moats'.

How do you handle strategic partnerships & consulting?

I operate on a Value-Based pricing model. I partner with founders and CTOs who need end-to-end SDLC stewardship—meaning I take extreme ownership of the entire architecture, from geospatial data ingestion to cloud deployment and zero-latency failovers.

Do you really write all of this logic by yourself?

I am an AI-Augmented Engineer. I design the deterministic architecture (like my 22-Rule Engine) and orchestrate GenAI models to generate underlying boilerplate syntax. This allows me to deploy hedge-fund velocity architectures 5x faster than traditional developers.

Where can I read your technical blueprints and strategy decisions?

I document my entire intellectual methodology, from Offline-First SQLite integrations to Point-in-Polygon Sharding, on my Architect's Playbook page. You can read the full Master Q&A Bank in the 'Resources' section.

Project Manager · AI-Assisted Product Builder

Sarthak Srivastava

Turning product requirements into shipped AI-assisted systems

BCA student and Project Manager at Sitekraft.dev, working across product flow, automation logic, backend workflows, integrations, testing, rollout, and deployment support.

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AI-assisted projects by Sarthak Srivastava

Sarthak Srivastava projects span automation, applied ML, and product workflows with an emphasis on deployment, usability, and maintainable implementation.

Applied machine learning work

Applied ML case studies by Sarthak show how I use models, validation, and product framing to turn ideas into usable tools and explainable case studies.

Automation-focused product work

Automation tools built by Sarthak Srivastava connect APIs, cloud services, and user workflows while keeping the product useful, understandable, and ready to ship.

About

Overseeing institutional-grade execution through strategic design

A 10× multiplier is only as strong as its foundation

AI agents compress months into weeks, but only when the architectural blueprint is resilient enough for production-scale deployment.

Start a Project

How I work

I lead the project lifecycle — from defining the architectural blueprints and designing geospatial matching algorithms to managing high-concurrency async ingestion and systemd deployment units. My role is to oversee the overall execution under Sitekraft with AI-Native precision.

My focus is on signal over noise: designing systems that make precise, deterministic decisions (like a 22-rule scoring engine that discards 90% of data) rather than those that simply automate volume.

₹1.85 Cr+

Total Asset Value Built

10×

AI Build Velocity

Strategic Deployments

Specializations and distinctions

National-Level Hackathon Finalist (ECLearnix Distinction)
AI/ML Systems Engineering (VSICS Specialized)
Cloud Infrastructure Architecture (Certified Azure Integration)
High-Concurrency Python & AsyncIO Orchestration
Large Language Model (LLM) & BERT Engineering
Generative AI Data Architecting (Simplilearn Distinction)
Full-Stack Systems Internship (CodSoft Industrial)
Institutional Readiness & Interview Distinction

Skills

Full-stack toolkit for AI products and backend systems

Languages, frameworks, and tools I use to build production backend systems, machine learning pipelines, and intelligent automation products.

Core Architecture

Python (AsyncIO)TypeScriptNext.js 16React 19C/C++ Systems

AI & LLM Orchestration

Prompt EngineeringRAG PipelinesSarvam AIOCR AutomationNLP Model Evaluation

Institutional Backend

FastAPISQLite WALAPSchedulerSystemdBot-Bypass LogicPlaywright

Database & Cloud

PostgreSQLSupabaseAzure CloudLinux VPS (Hardening)Redis CacheSQL Optimization

Enterprise Integrations

Razorpay (Payments)Telegram Bot APIWhatsApp Business APIIdentity RotationCookie Warming

Data Engineering

PandasNumPyScikit-learnGeospatial ShardingEDAFinancial Visualization

Projects

Case studies built around shipping, workflows, and real use

Selected work spanning automation, applied ML, deployment, and product-minded implementation.

Score 8+ Signals · ₹52.5L ValueDeterministic AI

Bulkbeat TV

Institutional-grade market intelligence: 22-rule Deterministic Scoring filters 90%+ noise before a single alert fires. Engineered with Identity Rotation and Cookie Warming to bypass NSE bot detection on a 1GB VPS.

View Case Study

100ms Sync · ₹42.5L ValueGeospatial Sharding

Smart Galla

Architected a geospatial supply-chain backbone for 12M+ Indian Kirana stores: Point-in-Polygon geofencing with LRU cache, sub-100ms real-time inventory hydration, and Atomic Postgres ledgers for the Udhar economy.

View Case Study

Native Android · ₹48.0L ValueReact Native

Caloriv Native

Production React Native + Expo fitness tracker with a 100+ native Indian food database. Engineered with an Offline-First SQLite architecture and optimized Azure Cloud synchronization for sub-100ms log latency.

View Case Study

Behavioral AI · ₹28.5L ValueVite PWA

Sarvasva Fitness PWA

Behavioral engineering engine featuring a Snapchat-style streak system and IndexedDB offline persistence. Gamifies consistency through a 3-rule validation algorithm (Steps, Workout, Diet) with zero-loss data integrity.

View Case Study

Stealth Scraping · ₹14.2L ValuePlaywright

Enterprise Tender Intelligence

Modular automation system for tracking institutional procurement: Playwright-based local scraper bypassing bot-detection with real-time Azure dashboard ingestion.

View Case Study

Blog

Technical deep-dives and engineering insights

Documenting system design decisions, architecture patterns, and lessons from production.

View All Articles

May 10, 2026·5 min read

How We Built Bulkbeat TV: The Bloomberg Experience for the Rest of Us

A portfolio case study on how Bulkbeat TV went live as a production market intelligence system that turns noisy NSE data into fast, reliable, and usable trading signals.

Bulkbeat TVMarket Intelligence

Apr 19, 2026·5 min read

₹0 AI Bill: Scaling to 50 Million Tokens with Sovereign Indian LLMs

How I leveraged Sarvam AI to process massive datasets for Bulkbeat TV at near-zero cost, challenging the high-tax regime of global AI models.

AISarvamAI

Apr 17, 2026·5 min read

The '22-Rule' Engine: Building an Institutional-Grade Market Intelligence System for Bulkbeat TV

How I engineered Bulkbeat TV — a high-concurrency, AI-driven intelligence system that separates signal from noise in the Indian stock market, processing thousands of corporate filings with the precision of a Tier-1 Hedge Fund desk.

FinTechNSE

Experience

Real-world delivery, product ownership, and execution

Mar 2026 - Present, Remote

Project Manager

Sitekraft.dev

Leading delivery of an AI-assisted real-time market intelligence product for Telegram. Translating product requirements into workflows, feature scope, backend behavior, and deployment decisions while coordinating development, testing, rollout, and iteration.

Product Workflow DesignFeature PlanningAutomation WorkflowsAPI IntegrationsBackend LogicDeployment Support

Nov 2025 - Dec 2025, Remote

Machine Learning Intern

CodSoft

Worked on ML classification tasks in Python with preprocessing, feature engineering, model evaluation, and practical supervised learning workflows.

PythonClassificationFeature EngineeringModel EvaluationScikit-learn

Education

Academic foundation and ongoing learning

2024 - 2027, Kanpur

Bachelor of Computer Applications (BCA)

Dr. Virendra Swarup Institute of Computer Studies, Kanpur

CGPA: 7.75

Certifications & Achievements

Validated expertise and continuous learning

Formal training, internships, and self-directed mastery in systems engineering.

Machine Learning Internship

CodSoft·2024

Advanced ML model development, classification algorithms, and production deployment

PythonScikit-learnModel Evaluation

Project Management & Architectural Design

Strategic Portfolio Mastery·2023-2024

Overall project ownership, high-concurrency architecture, and institutional-grade deployment management.

Project ManagementDesign OwnershipResilient Infrastructure

Full Stack Development

Production Projects·2023-2024

Next.js, React Native, FastAPI, and cloud deployment expertise

Next.jsReact NativeAzure

Recommendations

Professional feedback and trust signals

“Sarthak demonstrated a high-caliber grasp of machine learning fundamentals. He approached complex classification problems methodically—from data preprocessing to model evaluation—and consistently delivered clean, production-ready code with detailed documentation.”

CodSoft Machine Learning

Internship Performance Reference

“His Bulkbeat TV system showcases exceptional engineering—22-rule deterministic scoring, identity rotation for bot-bypass, and sub-second alert latency. The architecture demonstrates institutional-grade thinking rarely seen at this career stage.”

Technical Peer Review

Systems Architecture Assessment

“Smart Galla's geospatial sharding and sub-100ms inventory sync for 12M+ Kirana stores reflects deep understanding of distributed systems. The point-in-polygon geofencing with LRU cache is production-grade optimization.”

Engineering Evaluation

Supply Chain Systems Review