---
title: "Ashish N. - Software Developer GenAI in Greater Jaipur Area | Tal"
description: "Meet Ashish N., AI Engineer | Automating Workflows with LLM Systems | Backend & Infrastructure based in Greater Jaipur Area. AI stack includes claude code, cursor, and notebooklm. Explore public work links including github."
image: "https://tal.club/meet/ashish-n/share-image"
---

# Ashish N\. on Tal

## Headline

AI Engineer \| Automating Workflows with LLM Systems \| Backend & Infrastructure

## About

I build AI systems that actually get used in production\. Currently working as an AI Engineer at Wingify, where I design and ship LLM\-powered systems across customer support, sales intelligence, and workflow automation\. What I’ve worked on: • Built a GenAI support system handling 5K\+ monthly queries with \~92% accuracy • Reduced SDR research time from 3 hours → 4 minutes using AI pipelines • Improved outreach response rates by \~40% through AI\-driven insights • Built 25\+ internal AI tools for debugging, automation, and workflows • Set up LLM observability \(Langfuse\), reducing costs by \~20% Previously at Newgen Software: • Built RAG pipelines for document intelligence systems • Created a 6,000\-query dataset using Mistral\-7B • Fine\-tuned embedding models \(NDCG@10: 45\.52 → 54\.31\) • Improved LLM retrieval performance by \~20% I enjoy working at the intersection of backend systems and AI especially around RAG pipelines, LLM fine\-tuning, and building scalable GenAI products\. Currently focused on building reliable, production\-grade AI systems not just demos\. Reach out to me at: ai\.ashishnehra@gmail\.com

## Location

Greater Jaipur Area

## AI stack

claude code

cursor

notebooklm

ollama

ChatGPT Images

Firecrawl

## Work experience

Software Developer GenAI at Wingify, Jul 2024 \- Present · 2 yrs 2 mos, Delhi, India, \- Architected a GenAI\-powered customer support system handling 5K\+ monthly queries with \~92% accuracy using RAG pipelines and AI agents \- Built an AI\-driven sales intelligence platform reducing SDR research time by 97% \(3 hrs → 4 mins\) and increasing reply rates by 40% \- Developed 25\+ internal AI tools for debugging, automation, and workflow execution across support pipelines \- Designed a personalized deck generation system reducing creation time from 1 day → 30 minutes \- Implemented LLM observability using Langfuse, reducing operational costs by 20% \- Built automated campaign and landing page generation workflows reducing creation time by \~98% \- Developed AI\-powered outreach systems using web scraping \+ LLMs to generate high\-conversion messaging

Data Science Intern at Newgen Software, Jan 2024 \- Jun 2024 · 6 mos, Gurugram, Haryana, India, \- Developed RAG \(Retrieval\-Augmented Generation\) pipelines, including data splitting techniques, pre\-retrieval techniques, and advanced retrieval methods \- Data\-Generation: Created a 6000 query\-corpus dataset using 300 documents with Mistral\-7B LLM\. \- Embedding Finetuning: Fine\-tuned the GTE\-large embedding model using the above dataset, improving NDCG@10 from 45\.52 to 54\.31\. \- Instruction fine\-tuned Mistral\-7B LLM for better response generation, enhancing retrieval performance by 20%\.

AI Software Developer Intern at AmberFlux EdgeAI Private Limited, Jun 2023 \- Aug 2023 · 3 mos, Hyderabad, Telangana, India, \- Engineered two innovative products: PDF\-centered Q&A system and Audio Transcript Analyzer\. \- Applied transformer\-based models to speech to text conversion and leveraged the generated transcripts to generate insights and create Q&A functionalities\. \- Implemented chained conversation for enhanced responses using Langchain framework\.

ML Pioneer at MarkovML, May 2023 \- Jun 2023 · 2 mos, Bengaluru, Karnataka, India, \- Initiated the development of an advanced Dialogue\-based system that incorporates emotional context to enhance responses using the MarkovML platform\. \- Implemented emotion recognition and speech\-to\-text using 2D neural networks and transformers\.

ML Contributor at Omdena, Mar 2023 \- Apr 2023 · 2 mos, Remote, \- Collaborated on developing a Real Estate Platform application \- Implemented a Machine Learning model for impactful real estate recommendations, showcasing skills in data analysis and modeling\.

## Education

Bachelor of Technology \- BTech, Information Technology, ABV\-Indian Institute of Information Technology and Management

## Public links

- github: https://github\.com/Ashish\-Nehra

[View the original profile](https://tal.club/meet/ashish-n)

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