Hire the Best Torch Freelancers in New Delhi, IN

I help enterprises move AI from prototype to production — solving the problems that appear when AI systems become **expensive, slow, unreliable, and difficult to scale.** With 12+ years across Software Engineering, Technical Leadership, CTO, and AI Architecture, I design production-grade AI systems, agentic workflows, enterprise RAG platforms, and AI-native SaaS products. My focus is not simply building chatbots. I solve the engineering problems behind reliable AI: • Runaway token costs • Slow agent execution • Excessive LLM calls and agent loops • Poor RAG retrieval and hallucinations • Chunking and embedding problems • Context-window and memory problems • Unreliable multi-agent systems • AI infrastructure and scaling • Observability, evaluation and cost control ━━━━━━━━━━━━━━━━━━━━━━ 🚀 AI AGENT ARCHITECTURE I design production-ready: • Multi-agent systems • Planner → Supervisor → Worker architectures • Tool calling and API orchestration • MCP-based systems • Agent memory and state management • Human-in-the-loop workflows • Long-running/background agents • Event-driven agents • Agent evaluation, guardrails and failure recovery Technologies: Claude, OpenAI, AWS Bedrock, AgentCore, LangGraph, LangChain, MCP, n8n, Python, TypeScript, FastAPI, Node.js. ━━━━━━━━━━━━━━━━━━━━━━ 💰 AI TOKEN COST OPTIMIZATION AI systems can become extremely expensive at production scale. I reduce unnecessary: • Prompt/context tokens • Conversation history • RAG context • Tool outputs • Agent-to-agent communication • LLM calls and reasoning loops Using context compression, prompt caching, model routing, retrieval optimization, structured outputs, summarization and intelligent model selection. The goal isn't simply **"use a cheaper model."** It is to reduce inference cost while maintaining quality and reliability. ━━━━━━━━━━━━━━━━━━━━━━ ⚡ AGENT LATENCY OPTIMIZATION Slow agents are often an architecture problem. I analyze: User → API → Agent → LLM → Retrieval → Tools → APIs → Database → Response And optimize: • Sequential → parallel execution • Unnecessary LLM calls • Tool-call chains • RAG/vector-search latency • Database/API bottlenecks • Network round trips • Model selection • Streaming, caching and async execution ━━━━━━━━━━━━━━━━━━━━━━ 🧠 CONTEXT ENGINEERING Many AI systems fail because the model receives the **wrong context**. I design architectures for: • Short/long-term memory • Conversation history • Retrieved knowledge • Task and agent state • Tool results • Dynamic context • Context compression and prioritization The key questions are: **What should the model know? When should it know it? How much does it actually need?** ━━━━━━━━━━━━━━━━━━━━━━ 🔎 ENTERPRISE RAG & RETRIEVAL I build RAG systems optimized for **accuracy, latency, cost, security and traceability.** I solve: • Poor retrieval and irrelevant chunks • Hallucinations • Large context windows • Slow vector search • Metadata filtering • Multi-tenant / permission-aware retrieval • Citations and provenance • Embedding and reranking problems Typical pipeline: Document → Parsing → Chunking → Embedding → Hybrid Search → Metadata Filter → Reranking → Context → LLM Technologies: Pinecone, OpenSearch, Elasticsearch, pgvector, Weaviate, FAISS. ━━━━━━━━━━━━━━━━━━━━━━ ✂️ CHUNKING & EMBEDDING OPTIMIZATION Chunking is often a hidden cause of poor RAG performance. I work with: • Fixed, sentence, paragraph and semantic chunking • Parent-child retrieval • Document/code-aware chunking • Metadata enrichment • Overlap optimization • Embedding selection • Top-K tuning • Reranking The objective isn't smaller chunks — it's creating retrieval units that preserve the meaning needed to answer the question. ━━━━━━━━━━━━━━━━━━━━━━ 🏗️ AI AGENT INFRASTRUCTURE I design infrastructure for reliable, scalable agent execution: • Agent runtime and background jobs • Queues and state/checkpointing • Retries and idempotency • Concurrency and rate limiting • Observability and tracing • Cost monitoring • Multi-tenancy and security • Failure recovery AWS: Bedrock, AgentCore, Lambda, ECS, EKS, API Gateway, ALB, SQS, EventBridge, Step Functions, DynamoDB, Aurora, S3, OpenSearch, CloudWatch. ━━━━━━━━━━━━━━━━━━━━━━ 🤖 CLAUDE CODE / AI-NATIVE ENGINEERING I use **Claude Code as an AI engineering layer**, not just a code generator. Capabilities include: • Large codebase understanding • Architecture analysis • Refactoring and modernization • Feature implementation • Debugging and test generation • Code review • Repository intelligence • MCP integrations • Engineering automation I help teams evolve from traditional development toward **AI-native software engineering.** ━━━━━━━━━━━━━━━━━━━━━━ 🔄 AI APPLICATION MODERNIZATION I help existing SaaS and enterprise applications become AI-native: **Legacy Application → APIs → AI Layer → Agents → Knowledge → Automation** Including AI copilots,

TOP RATED, An ELITE Freelancer on UpWork, specializing in Data Mining, Internet Researching, Web Scraping, Database Management, & CRM Portal Entries. A Full Time Working freelancer and already demonstrated strong performance on UpWork. Highly motivated and eager to learn new things. Strong motivational and leadership skills. Ability to produce best results in pressure situation. Ability to work as individual as well as in group for short and long-term projects. Good communication and interpersonal skills. I am an expert in: • WordPress • Website Building • Data Mining • Data scraping • Web Research • CRM Portal Entries • Database Management • Internet Marketing • Social Media I also have good knowledge in: • Logo Designing • Instagram Story Ads and YouTube Thumbnail Creator with Canva • Lead Generation • Amazon • Shopify • Product Listing Serve you best quality and accuracy as per your budget and requirement. And I believe in Quality and perfection, I work hard to get perfection in my work to serve you better. 🙋‍♂️I am a person who is fast and accurate, delivering top-quality data and results. I want to have good and long-term working relationship with my clients. Thanks

AI-proficient Virtual Assistant with 13+ years of experience in web research, data entry, admin support, website tasks, and AI-assisted workflows using ChatGPT, Claude, Gemini, and Perplexity. I help businesses and agencies execute structured, repeatable work accurately and on time. I work best in roles that require attention to detail, consistency, and strict SOP adherence. Over the last 13+ years, I’ve supported entrepreneurs, startups, and marketing agencies with research, data management, website support, content organization, and AI-driven execution tasks. 🔹 Core Areas I Support 🤖 AI-Assisted Workflows 🔹 AI content organization & restructuring 🔹 Website page analysis using ChatGPT / Claude 🔹 Running structured prompts & final AI instructions 🔹 AI-assisted research, summarization & validation 🔹 Saving outputs in Google Docs & tracking in Google Sheets 📊 Research, Data & Admin Support 🔹 Web research (companies, markets, contacts, products) 🔹 Data entry, cleanup & spreadsheet management 🔹 Lead generation & data collection 🔹 Copy-paste & structured data processing 🔹 PDF to Excel / Docs conversion 🔹 CRM & database updates 🌐 Website & Web Support 🔹 Website content updates & formatting 🔹 WordPress content posting 🔹 Website data entry & page organization 🔹 Landing page content updates 🔹 Website research & non-technical audits 📈 SEO & Social Media Support 🔹 On-page SEO support (meta tags, headings, formatting) 🔹 SEO-ready blog posting 🔹 Social media scheduling & management 🔹 Canva-based post creation 🔹 Hashtag research & profile optimization 🛠️ Tools & Platforms 🔹 ChatGPT 🔹 Claude 🔹 Google Gemini 🔹 Perplexity 🔹 Google Sheets & Google Docs 🔹 WordPress 🔹 Excel 🔹 Canva ⭐ Why Clients Work With Me 🔹 13+ years of proven VA experience 🔹 Comfortable with AI-driven SOPs 🔹 Highly detail-oriented & reliable 🔹 Scales easily across repetitive tasks 🔹 Clear communication & fast response If you’re looking for a reliable AI-ready Virtual Assistant who can support research, data, web, admin, SEO, and AI-based workflows, I’m ready to help. 👉 Invite me to your job, quick response guaranteed.

Welcome to My Profile :) 2+ years of experience as Data Engineer in the IT industry. 6+ years of experience in Back-end with Django and Flask. 3+ years of experience in Back-end with FastAPI and in Front-end with ReactJS. 4+ years in Front-end with ReactJS, jQuery, Bootstrap and AJAX. 2+ years of experience working with React-Native to develop mobile apps(Android/iOS). I can create new applications, improve existing ones and deploy them to any kind of VPS server. My other experiences include ML/NLP, Cyber Security, and Web/data scraping with Python. I am a dedicated, communicative, flexible, and responsible developer. My responsibilities are to follow the client's needs and deadlines accordingly. I always do my best to deliver the result at a reasonable development price. ------------------------------------------ Technologies -------------------------------------------- ✓ Back-end: Python ✓ Frameworks: Django, DRF, Flask, FastAPI and Streamlit ✓ Machine learning/Deep learning libraries: KERAS, Tensor Flow, NumPy, Pandas, Matplotlib, PyTorch, ARIMA ✓ Front-end : jQuery, AJAX, ReactJS, Bootstrap, HTML5, CSS3, React Native ✓ Database: MySQL and PostgreSQL ✓ Other Technologies: REST APIs, Beautiful soup, PyQt, Scrapy, NGINX, uWSGI, Celery, Redis, SQLite, Socket.io, Burp suite, REDUX, Hooks ✓ Servers: Docker, Digital Ocean, Linode, physical servers ✓ Payment Gateway Integration: Paypal, Paytm, RazorPay and can work on others as per requirement. ✓ Third-party API services integration Any Doubts? Contact me any time :)