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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.
03 / Profile
Overseeing institutional-grade execution through strategic design.
Specializations
- AI/ML Systems Engineering
- Cloud Infrastructure Architecture
- High-Concurrency AsyncIO
- Large Language Models (LLMs)
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. 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 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.
Start a Project₹1.85Cr+
Total Asset Value Built
10×
AI Build Velocity
5
Strategic Deployments
08 / Inventory
Engineering Toolkit.
Core ArchitecturePython (AsyncIO)TypeScriptNext.js 16React 19C/C++ SystemsCore ArchitecturePython (AsyncIO)TypeScriptNext.js 16React 19C/C++ SystemsCore ArchitecturePython (AsyncIO)TypeScriptNext.js 16React 19C/C++ SystemsCore ArchitecturePython (AsyncIO)TypeScriptNext.js 16React 19C/C++ Systems
AI OrchestrationPrompt EngineeringRAG PipelinesSarvam AIOCR AutomationNLP Model EvaluationAI OrchestrationPrompt EngineeringRAG PipelinesSarvam AIOCR AutomationNLP Model EvaluationAI OrchestrationPrompt EngineeringRAG PipelinesSarvam AIOCR AutomationNLP Model EvaluationAI OrchestrationPrompt EngineeringRAG PipelinesSarvam AIOCR AutomationNLP Model Evaluation
Backend SystemsFastAPISQLite WALAPSchedulerSystemdBot-Bypass LogicPlaywrightBackend SystemsFastAPISQLite WALAPSchedulerSystemdBot-Bypass LogicPlaywrightBackend SystemsFastAPISQLite WALAPSchedulerSystemdBot-Bypass LogicPlaywrightBackend SystemsFastAPISQLite WALAPSchedulerSystemdBot-Bypass LogicPlaywright
Database & CloudPostgreSQLSupabaseAzure CloudLinux VPSRedis CacheSQL OptimizationDatabase & CloudPostgreSQLSupabaseAzure CloudLinux VPSRedis CacheSQL OptimizationDatabase & CloudPostgreSQLSupabaseAzure CloudLinux VPSRedis CacheSQL OptimizationDatabase & CloudPostgreSQLSupabaseAzure CloudLinux VPSRedis CacheSQL Optimization
IntegrationsRazorpayTelegram Bot APIWhatsApp APIIdentity RotationCookie WarmingIntegrationsRazorpayTelegram Bot APIWhatsApp APIIdentity RotationCookie WarmingIntegrationsRazorpayTelegram Bot APIWhatsApp APIIdentity RotationCookie WarmingIntegrationsRazorpayTelegram Bot APIWhatsApp APIIdentity RotationCookie Warming
02 / Archive
Selected works spanning automation, Web3 systems, and custom AI agents.
01 — Deterministic AI
Bulkbeat TV
Institutional-grade market intelligence: 22-rule Deterministic Scoring filters 90%+ noise before a single alert fires.
02 — Sarvam AI
SkillViva
AI-powered mock interview voice agent parsing resumes client-side, synthesizing questions via Sarvam TTS, and transcribing speech.
03 — LiveKit Agents
RapidX AI
Autonomous outbound calling voice agent and dashboard using LiveKit, Vobiz SIP, and voice-activated calendar scheduling.
04 — Gemini 2.5
Agentic-Reach
Autonomous multi-agent sales intelligence platform. Deploys 4 collaborative AI agents in an adversarial loop with Google Search Grounding.
05 — Next.js
VB Events
Architected a high-performance Next.js web application for an ultra-luxury wedding planning brand. Engineered a strict image optimization pipeline and semantic SEO architecture.
06 — Next.js
Sunny Editorax
Designed and developed a highly interactive, lightning-fast portfolio website for Sunny Editorax, a viral short-form video editor.
07 — Geospatial Sharding
Smart Galla
Architected a geospatial supply-chain backbone for 12M+ Indian Kirana stores: Point-in-Polygon geofencing with LRU cache.
Blog
Technical deep-dives and engineering insights
Documenting system design decisions, architecture patterns, and lessons from production.
04 / Ledger
Real-world delivery, product ownership, and execution.
01
Mar 2026 - PresentRemote
Project Manager
Sitekraft.dev
02
Nov 2025 - Dec 2025Remote
ML Intern
CodSoft
05 / Foundation
Academic foundation.
EDU
2024 - 2027
BCA
VSICS, Kanpur
CGPA: 7.75
06 / Qualifications
Validated expertise.
2024
Machine Learning Internship
CodSoft
Advanced ML model development, classification algorithms, and production deployment
PythonScikit-learnModel Evaluation
2023-2024
Project Management & Architectural Design
Strategic Portfolio Mastery
Overall project ownership, high-concurrency architecture, and institutional-grade deployment management.
Project ManagementDesign OwnershipResilient Infrastructure
2023-2024
Full Stack Development
Production Projects
Next.js, React Native, FastAPI, and cloud deployment expertise
Next.jsReact NativeAzure
07 / Endorsements
“He approached complex classification problems methodically and consistently delivered clean, production-ready code with detailed documentation.”
CodSoft Machine Learning
Internship Performance Reference
“The architecture demonstrates institutional-grade thinking rarely seen at this career stage.”
Technical Peer Review
Systems Architecture Assessment
“The point-in-polygon geofencing with LRU cache is production-grade optimization.”
Engineering Evaluation
Supply Chain Systems Review
FAQ
Frequently asked questions
Common questions about my work, availability, and approach to engineering.
09 / Initiate