Anish Vantagodi

AI Researcher

Bengaluru, Karnataka, India1 yr 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Top 10 at Intel GenAI LLM Hackathon
Developed impactful AI solutions at PwC
Innovated chatbot enhancing user experience

Stackforce AI infers this person is a Machine Learning Engineer with a focus on AI-driven solutions in Fintech and SaaS.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Machine Learning

Other Skills

AI AgentsLangGraphAlteryxData AnalysisData TransformationPower AutomateAgnoPython (Programming Language)Large Language Models (LLM)FlaskPineConeAlloyDBLangChainGPT-3RASA

About

Ever since I discovered the transformative power of Artificial Intelligence and Machine Learning, I've been driven by a passion to harness these technologies to solve real-world problems. My journey in AI and software development has been shaped by hands-on experience at innovative companies such as Techolution, Kusho, and Finplex Solutions. With a solid foundation in Information Science and Technology from the Bangalore Institute of Technology. I thrive on creating impactful solutions that enhance user experiences and improve efficiency. Driven by a desire to revolutionize industries through AI and software development, I’m always open to connecting with like-minded professionals. Let's connect: anishvv0000@gmail.com.

Experience

1 yr 9 mos

Total Experience

1 yr 9 mos

Average Tenure

1 yr 9 mos

Current Experience

Pwc india

Associate AI Engineer

Sep 2024 – Present · 1 yr 9 mos · Bengaluru, Karnataka, India · Hybrid

Reengineered a supply chain inventory management system using FIFO logic and Alteryx workflows to reconcile billed against actual inventory values, uncovering $20M in variances.
Strengthened data-driven decision-making by translating complex analyses into clear, strategic recommendations for stakeholders across initiatives.
Developed an automated VSR agent using LangGraph and Power Automate to streamline statement retrieval from emails, classify vendors, and aggregate open credits into a centralized master table for stakeholder review.
Devised an automated web scraping and search tool using Agno’s web search agent to identify royalty-bearing products, reducing manual research time by 60%.
Designed a POC for procurement agents automating vendor onboarding and 4-way reconciliation across contracts, invoices, SRNs, and purchase data through LangGraph agent workflow.
Automated the extraction of 200+ data points across 20,000+ pharmaceutical contracts via Microsoft Syntex Autofill, maintaining 95% accuracy.
Led analytical execution across multiple complex projects, leveraging diverse datasets to generate actionable insights on cost optimization and contract compliance, improving operational visibility and efficiency.

AI AgentsLangGraphAlteryxData AnalysisData TransformationArtificial Intelligence (AI)+1

Techolution

AI Intern

Apr 2024 – Sep 2024 · 5 mos

Devised a hybrid RAG model for context retrieval from PineCone and AlloyDB vector stores, achieving a 15% improvement in answer retrieval compared to the traditional cosine similarity approach.
Implemented an LLM pipeline with the Gemini 1.5 Pro model to refactor up to 10,000 tokens of code, ensuring adherence to coding standards and inclusion of appropriate doc-strings.
Trained a custom embedding model to evaluate LLM-generated answers, achieving 87% accuracy.
Created and deployed a Flask API for a feedback loop, utilizing Claude 3.5 Sonnet to generate better responses based on the provided feedback.
Developed a proof of concept using ChatGPT-4o-mini to convert UI design screenshots into code, achieving 94% accuracy in design modifications.
Converted GitHub repositories into JSON format with metadata, enabling LLM-based interaction and code retrieval.

Python (Programming Language)Large Language Models (LLM)FlaskPineConeAlloyDBMachine Learning+1

Kusho

Machine Learning Intern

Aug 2023 – Mar 2024 · 7 mos · Bengaluru, Karnataka, India · Remote

Designed and implemented an automation script using LangChain WebBaseLoader tool to convert API information from websites into tailored data for backend integration.
Fine-tuned and tested multiple LLMs (including Llama-2, Mistral, and Mistral 8x7b) using PEFT and QLoRa techniques on a custom internal dataset, enabling the models to predict all possible test case scenarios based on API request information.
Created a comprehensive automation tool using Playwright to streamline website workflow processes.

Large Language Models (LLM)Python (Programming Language)LangChainMachine Learning

Finplex

MLOPS Intern

Mar 2023 – Aug 2023 · 5 mos · Bengaluru, Karnataka, India · Remote

Innovated a Chatbot for IPPB by combining generative models (OPENAI) with retrieval models (RASA).
Enhanced user experience by integrating the Flask framework as a back-end for the chat-bot, resulting in a 33% reduction in browsing time.

Large Language Models (LLM)GPT-3FlaskMachine Learning