--- title: "Lalit Wagh - Machine Learning Engineer in Pune/Pimpri-Chinchwad Area | Tal" description: "Meet Lalit Wagh, AI Architect/Engineer | Uni of Strathclyde, UK MS | End-to-End LLM, RAG & Agentic AI Developer | Python, FastAPI, AWS based in Pune/Pimpri-Chinchwad Area. AI stack includes anthropic apis, antigravity, and claude code. Explore public work links including github." image: "https://tal.club/meet/lalit-arjun-wagh/share-image" --- # Lalit Wagh on Tal ## Headline AI Architect/Engineer \| Uni of Strathclyde, UK MS \| End\-to\-End LLM, RAG & Agentic AI Developer \| Python, FastAPI, AWS ## About As an AI & Machine Learning Engineer with 3\+ years of experience, I specialize in transforming complex business challenges into scalable, production\-grade AI systems\. With an MSc in Advanced Computer Science with Artificial Intelligence from the University of Strathclyde, I bridge the gap between cutting\-edge AI research and tangible business value\. ​Rather than just focusing on experimental AI, I build robust, end\-to\-end solutions that drive operational efficiency and revenue in complex, high\-impact sectors—from automated range management systems to financial trading platforms and intelligent real estate CRMs\. ​Core Expertise: ​Generative AI & LLMs: Specialized in building Retrieval\-Augmented Generation \(RAG\) pipelines, AI Agents, and Agentic workflows\. ​Model Integration: Experienced in deploying GenAI applications using OpenAI, Gemini, and LiteLLM\. I regularly integrate vector databases like Qdrant, Pinecone, and FAISS to power high\-performance search and retrieval\. ​Backend & Infrastructure: Skilled in developing modular APIs with FastAPI\. I architect scalable backend systems using Postgres and DynamoDB, and orchestrate pipelines via AWS \(including S3, Lambda, and ECS Fargate\)\. ​Workflow Automation: Proven ability to engineer automated workflows using N8N and GCP APIs\. I have led the development of internal AI Agents specifically designed for document Q&A, HR automation, and lead generation software\. ​Key Impact: ​Collaborated across teams to convert core research into deployable applications\. Consistently delivered POCs for high\-value AI use cases in direct partnership with C\-level executives\. ​Contributed to the enhancement and security hardening of an AI\-driven financial platform\. Stabilized microservices architectures, containerized services using Docker, and deployed secure infrastructure on AWS ECS Fargate\. ​Successfully managed multiple AI development lifecycles from initial requirement gathering through to final deployment\. ​I am currently exploring high\-impact roles in the UK market—particularly within the London area or anywhere in the UK—where I can leverage my modern ML tooling and cloud infrastructure expertise to engineer reliable, revenue\-driving AI products\. ## Location Pune/Pimpri\-Chinchwad Area ## AI stack anthropic apis antigravity claude code claude cursor deepseek gemini github copilot hermes agent inception langchain langgraph langsmith lovable mcp n8n notebooklm obsidian ollama openai openclaw perplexity ## Work experience Machine Learning Engineer at Inceptive Technologies, May 2025 \- Present · 1 yr 3 mos, Pune District, Maharashtra, India, Architecting and deploying production\-grade Generative AI and Agentic workflows to solve complex operational bottlenecks across high\-stakes sectors, including Finance, Real Estate, and Enterprise Operations\. Partnering directly with executive leadership \(CTO/CMO\) to translate AI research into secure, scalable, and revenue\-driving applications\. ​Key Engineering & Business Impact: ​Enterprise RAG & Agentic AI \(Real Estate & HR\): Engineered scalable Retrieval\-Augmented Generation \(RAG\) pipelines and autonomous AI agents to automate critical business processes, including a sophisticated Real Estate CRM for document Q&A and internal systems for HR and lead generation\. ​Financial & Macroeconomic Analytics: Developed the AI\-powered backend for a macroeconomic trading platform targeting US and UK markets\. Integrated modern LLM orchestration tools to process complex data ingestion and predict high\-growth market trends\. ​Scalable Backend & Cloud Infrastructure: Built highly modular, robust API backends utilizing FastAPI and deployed secure cloud infrastructure across AWS \(S3, Lambda\)\. Designed robust CI/CD pipelines, webhooks, and comprehensive logging systems to guarantee low\-latency ML inference\. ​Workflow Automation & Integrations: Streamlined enterprise delivery cycles by architecting complex, automated data pipelines using n8n and GCP APIs, incorporating advanced voice AI and automation tools like ElevenLabs, make\.com, and Synthflow\. ​Database Integration: Implemented and optimized vector databases \(Qdrant\) for high\-performance multi\-vector search, alongside traditional database management using Postgres and DynamoDB\. ​Core Technical Stack: Python, FastAPI, RAG architectures, LLMs \(OpenAI, Gemini, LiteLLM, Langchain\), Vector Databases \(Qdrant\), AWS \(S3, Lambda\), Postgres, DynamoDB, n8n, GCP APIs\. Junior Machin learning Engineer at Masaheb Infotech Private Limited, Oct 2023 \- May 2025 · 1 yr 8 mos, Pune District, Maharashtra, India Contract at hap Solutions Group, Sep 2022 \- Mar 2024 · 1 yr 7 mos, Scotland, United Kingdom Security Professional at Inhouse Ltd, Jun 2023 \- Aug 2023 · 3 mos, Glasgow City, Scotland, United Kingdom Machine Learning Intern at testAIng\.com, Sep 2021 \- Jun 2022 · 10 mos, Bengaluru, Karnataka, India, Developed machine learning models for object detection, image classification, and text classification using Python, achieving over 85% accuracy\. Contributed models to client projects in manufacturing, healthcare, and finance\. Performed extensive data analysis and visualization using Pandas, Matplotlib, and JSON to uncover insights and trends from large datasets\. Researched and evaluated various attack vectors such as data poisoning, model evasion, and adversarial attacks\. Developed mitigation strategies and contributed to improving model robustness against assaults\. Led optimization of client installation process, reducing installation time by 15%\. Collaborated with cross\-functional engineering teams to identify and implement automation opportunities\. Contributed machine learning modules to proprietary AI platform focused on computer vision and NLP\. Worked closely with CTO and data scientists on product road\-map\. ## Education Master of Science \- MS, Advanced computer Science With Artificial Intelligence, University of Strathclyde Bachelor of Engineering \- BE, Computer Engineering, Sandip Foundation's Sandip Institute of Engineering and Management, Mahiravani, Trimbak Road, Nashik 422213 ## Public links - github: https://github\.com/LalitW\-Inceptive [View the original profile](https://tal.club/meet/lalit-arjun-wagh) ```json { "@context": "https://schema.org", "@graph": [ { "@type": "Person", "@id": "https://tal.club/meet/lalit-arjun-wagh#person", "name": "Lalit Wagh", "url": "https://tal.club/meet/lalit-arjun-wagh", "image": "https://tal.club/meet/lalit-arjun-wagh/profile-photo.jpg", "description": "Meet Lalit Wagh, AI Architect/Engineer | Uni of Strathclyde, UK MS | End-to-End LLM, RAG & Agentic AI Developer | Python, FastAPI, AWS based in Pune/Pimpri-Chinchwad Area. 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