---
title: "Venkata Ashish Nunna - Associate Product Manager in Bengaluru | Tal"
description: "Meet Venkata Ashish Nunna, Forward Deployed Engineer | AI Engineer | AI Developer | AI Agent Systems | Autonomous App Builders based in Bengaluru. AI stack includes anthropic apis, antigravity, and claude code."
image: "https://tal.club/meet/venkata-ashish-nunna/share-image"
---

# Venkata Ashish Nunna on Tal

## Headline

Forward Deployed Engineer \| AI Engineer \| AI Developer \| AI Agent Systems \| Autonomous App Builders

## About

I am an innovative and enthusiastic software developer with over two years of experience spanning FinTech, OTT platforms, and 5G testing companies\. My core strengths lie in AI/ML, where I’ve worked extensively with Agentic Frameworks, data analytics, AI\-driven chatbot development, and intelligent recommendation engines tailored for 5G core testing environments\. I’ve successfully leveraged AI tools such as OpenAI Whisper, Bark, and Indic TTS to automate multilingual subtitle translation and synchronization for OTT platforms, significantly improving workflow efficiency\. My backend expertise includes API development and integration using FastAPI, scalable infrastructure using Docker and Redis, and real\-time monitoring with Prometheus\. I am also adept at end\-to\-end development, debugging, feature enhancement, repository management, and cross\-platform bug fixing\. With a strong foundation in AI/ML and a passion for creating intelligent, user\-centric solutions, I am seeking a role in a dynamic, high\-performing environment that values innovation and continuous growth\. I’m eager to contribute my technical expertise, adaptability, and creative problem\-solving abilities to drive meaningful impact in a forward\-thinking organization\.

## Location

Bengaluru

## AI stack

anthropic apis

antigravity

claude code

claude

codex

cursor

## Work experience

Associate Product Manager at Kantar, May 2025 \- Present · 1 y 4 mo, Bengaluru, • Owned the 0\-to\-1 product strategy, roadmap, and build of an AI\-powered brand and market analytics platform across Crosstab, Brand Analysis, and Snapshot, from client problem discovery through rollout\. • Built the core platform with Next\.js \+ Python, spanning calculation engines, APIs, visual/tabular analytics, filters, nested dimensions, and client\-facing research workflows\. • Re\-architected computation, queries, caching, and pagination, reducing key analysis flows from 2 minutes to sub\-second execution and improving overall performance by 70–80%\. • Built an Agno\-based AI layer using tool calling, semantic routing, RAG, hybrid RAG, memory, reasoning, workflows, and caching; common analytical answers returned in under 2 seconds\. • Automated analyst setup across row nesting, columns, filters, and analysis configuration; shipped PowerPoint/Excel exports and simplified complex workflows for non\-technical research users\. • Led a 10\-member team; owned prioritization, sprint/release planning, Git branching, pull requests, delivery risks, blockers, deployment readiness, and client/on\-site stakeholder coordination\. • Took the product from idea → architecture → build → client rollout, contributing to a commercial solution associated with approximately $1M in revenue\.

Analyst at Keenai Global, Sep 2024 \- May 2025 · 8 mo, Bengaluru, Karnataka, India, At Keenai Global, a wealth management and FinTech firm, I was responsible for developing intelligent chatbots tailored for high\-net\-worth individuals \(HNIs\) and banking professionals\. These chatbots enabled users to seamlessly access and manage client profiles, monitor investment portfolios, and validate transaction histories\. By integrating data analytics and conversational AI, I ensured that complex financial data could be fetched and displayed in a clear, user\-friendly format\. My contributions significantly improved the efficiency of portfolio management and transaction monitoring processes\.

Software Engineer at Logituit, Jan 2024 \- Sep 2024 · 9 mos, Bengaluru, Karnataka, India, At Logituit, I was actively involved in a localization project focused on subtitle translation for OTT platforms\. I led efforts in AI\-powered video processing, including Speech Recognition & Transcription using advanced models, Subtitle Synchronization & Automation to streamline workflows, and Text\-to\-Speech \(TTS\) Integration for multilingual voiceovers\. I enhanced subtitle accuracy through advanced Spell Checker Enhancements, developed robust APIs for seamless system integration, implemented an intelligent Ad Detection System using YOLOv8, and contributed to scalable backend infrastructure with Docker, Redis, and Prometheus for efficient DevOps and monitoring\.

Software Engineer at Rebaca Technologies, May 2023 \- Jan 2024 · 9 mos, Bengaluru, Karnataka, India, At Rebaca Technologies, I contributed to the development of 'Abot,' a test orchestration solution for validating 4G/5G network functions and ORAN components\. I built a Python\-based recommendation engine for root cause analysis, developed FastAPI\-based APIs for efficient test orchestration, and integrated Elasticsearch for real\-time feature tracking\. I resolved OpenAPI compatibility issues and led the migration of the codebase from Ubuntu 18\.04 to 22\.04 using Alembic\. Additionally, I implemented monitoring and alerting with Prometheus, reducing resource\-related incidents by 20%\.

Intern at POP, Nov 2022 \- Apr 2023 · 6 mos, Bengaluru, Karnataka, India, At POP Club, I worked on India’s first rewards\-based UPI platform, contributing to the development of a user management system with secure registration and deletion features\. I built an email data extraction tool using JWT authentication for secure processing, and integrated Branch\.io to implement a referral system that boosted user acquisition and engagement through targeted rewards\.

Intern at Tech Mahindra, Jan 2022 \- Apr 2022 · 4 mos, Pune, Maharashtra, India, At Tech Mahindra, I contributed to the development of intelligent chatbot systems aimed at enhancing user engagement and automating query resolution in enterprise environments\. I developed automated chatbots using advanced Natural Language Processing \(NLP\) techniques and integrated Deep Q\-Network \(DQN\) reinforcement learning to enable adaptive, reward\-based learning from user interactions\. My work focused on improving chatbot behavior through continuous performance tuning, iterative adjustments to DQN parameters, and rigorous testing under diverse conditions\.

## Education

Bachelor of Technology \- BTech, Computer Science, Vellore Institute of Technology \(VIT\)

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

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