Ankit Patil profile picture

Hello, I'm

Ankit Patil

AI Engineer

New York City, NY

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About Me

Professional Summary


AI Engineer with 2+ years shipping governed agentic systems and multi-tenant retrieval platforms on AWS — from vector search and knowledge graph pipelines to responsible AI guardrails with cryptographic audit trails. Built and deployed human-in-the-loop LLM orchestration serving live financial workflows, with hands-on depth in evaluation frameworks (RAGAS), inference cost optimization, and production observability.


Core Stack: Python · LangGraph · FastAPI · pgvector · Neo4j · AWS ECS Fargate

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Education


M.S. Computer Science — SUNY Binghamton University, NY (Jan 2023 – May 2025)
B.E. Computer Engineering — Savitribai Phule Pune University, India (Aug 2018 – May 2022)

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Certifications


NVIDIA Generative AI LLMs — Associate
NVIDIA Generative AI LLMs — Professional
NVIDIA Agentic AI — Professional

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My Professional

Work Experience

Invisia AI

AI Engineer

New York, NY Oct 2025 – Jun 2026
  • Engineered a tenant-isolated vector search and ingestion pipeline using pgvector and Python, processing 50 MB+ financial documents per tenant with strict namespace partitioning
  • Accelerated investor reporting cycles by 40% by orchestrating a human-in-the-loop agentic workflow using LangGraph and GPT-4o with structured token budgeting
  • Built ToneGuard, a responsible AI guardrail enforcing citation-grounded faithfulness checks and content suppression with cryptographically immutable audit trails
  • Deployed governed agentic microservices behind RBAC-enforced APIs on AWS ECS Fargate with Docker and GitHub Actions CI/CD

G5InfoTech

AI Intern

Remote, USA Jan 2025 – Oct 2025
  • Built a multi-turn conversational AI system using LangGraph with hybrid dense/sparse retrieval & cross-encoder reranking, benchmarked at 0.87 faithfulness via RAGAS
  • Reduced domain-specific hallucinations 3x by deploying locally-hosted Ollama models with structured prompting and persistent memory
  • Constructed entity-extraction & knowledge graph pipelines using Neo4j & LLM-guided traversal, improving multi-hop answer accuracy by 35%

SafeSpace

Software Engineering Intern

Remote, USA Aug 2024 – Dec 2024
  • Shipped backend features and automated test suites using FastAPI and pytest, reducing post-deployment bugs by 20%
  • Architected REST and server-sent event streaming APIs integrated with a Next.js frontend for real-time system state updates
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Explore My

Skills

Languages & Databases

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Python

Expert

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SQL

Experienced

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TypeScript

Intermediate

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FastAPI

Experienced

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React.js

Intermediate

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PostgreSQL

Experienced

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MongoDB

Intermediate

AI & Agents

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LangGraph

Experienced

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LangChain

Experienced

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LlamaIndex

Intermediate

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MCP Servers

Experienced

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Prompt Engineering

Experienced

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Structured Outputs

Experienced

Retrieval & Evaluation

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pgvector

Experienced

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Neo4j

Experienced

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FAISS

Intermediate

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Graph RAG

Experienced

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RAGAS

Experienced

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Langfuse

Intermediate

Cloud & Infrastructure

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AWS

Experienced

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Docker

Experienced

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Kubernetes

Intermediate

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Terraform

Intermediate

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GitHub Actions

Experienced

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Azure

Intermediate

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Browse My

Projects

Incident Zero

FastAPI · Next.js · Mistral · MCP · OCR · SSE

Multimodal agentic security platform that accepts images, PDFs, and text evidence, runs OCR extraction and LLM-driven attack-graph generation, and outputs structured root-cause analysis.

WanderGenie

LangGraph · AWS Bedrock · GPT-4o-mini · pgvector · Neo4j

Multi-agent AI travel planner with three specialized LangGraph agents coordinating through a shared state graph. Hybrid retrieval improved route accuracy by 40% over dense-only baselines.

AI Document Chat SaaS

TypeScript · Next.js · AI · SaaS

Full-stack SaaS application enabling users to upload documents and chat with them using AI-powered retrieval and generation.

Watch Demo Video

Agentic AI DevOps Automation

Python · FastAPI · ServiceNow · Agentic AI

Agentic AI system as a FastAPI microservice integrated with ServiceNow PDI. Processes free-form IT requests, determines required agents, and returns comprehensive combined results.

Stock Agent AI Assistant

Python · RAG · yfinance · Agentic AI

Agentic system combining RAG with yfinance data to provide strategy improvement suggestions and stock screening.

E2E Software Life Cycle Agentic AI

Jupyter Notebook · Agentic AI

End-to-end software life cycle model powered by agentic AI, automating stages from requirements to deployment.

Trip Planner (CrewAI)

CrewAI · Python · Multi-Agent

AI-powered trip planner built with CrewAI framework using multi-agent collaboration for itinerary generation.

Content Researcher & Writer

CrewAI · Jupyter Notebook · Multi-Agent

Multi-agent content research and writing system using CrewAI for automated content generation workflows.

Traditional RAG

Jupyter Notebook · RAG · Vector Search

Implementation of a traditional Retrieval-Augmented Generation pipeline with vector search and document Q&A.

AI Chatbot (LangGraph)

Python · LangGraph

Basic AI chatbot built using LangGraph for stateful, graph-based conversation management.

Text Summarizer

HTML · CSS · JavaScript · NLP

Web-based text summarization tool with a clean UI for condensing long-form content.

Student Score Prediction

Jupyter Notebook · ML · Scikit-learn

Machine learning project for predicting student scores using regression models and data analysis.

BitTorrent Client (Python)

Python · Networking · BitTorrent Protocol

Python implementation of a BitTorrent client, built as part of the Codecrafters challenge.

Rainbow Table Server

C · Multi-Threading · Cryptography

Multi-threaded rainbow table server for password recovery using concurrent hash table lookups.

APEX 5-Stage Pipeline Simulator

C · Computer Architecture

Simulator for a 5-stage in-order pipeline processor with hazard detection and forwarding.

TLB Simulator

C · Operating Systems · Memory Management

TLB simulator with multiple replacement algorithms (LRU, FIFO, Random) for virtual memory management.

Design Patterns

Java · OOP · Design Patterns

Implementations of common software design patterns in Java with practical examples.

Political Trends Analysis

Python · NLP · Sentiment Analysis

Data analytics and sentiment analysis on social media trends, revealing political currents and public sentiments across platforms like Reddit and 4Chan.

Image Captioning in Real Time

Python · CNN · LSTM · Xception

Real-time image captioning using pre-trained CNN, LSTM, and Xception models trained on Flickr8k dataset. Published as undergraduate capstone project.

PickupBox

Python · KivyMD · Maps API

Interactive map app for locating nearby free giveaway items, built in 24 hours at BinghamtonHacks (HACKBU) hackathon.

Tuition Management System

PHP · MySQL · HTML · CSS · JS

Web application for managing branches, teachers, and students of a tuition class. Won 3rd prize in competition.

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My Relevant

Courses

Binghamton University

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Computer Architecture and Organization

CS520

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Operating Systems

CS550

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Design & Analysis Computer Algorithm

CS575

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Programming Languages

CS571

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Intro to Cloud Computing

CS552

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Design Patterns

CS542

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Social Media Data Science Pipeline

CS515

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Intro to Computer Security

CS558

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SW & Project Management

CS580B

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Systems Programming

CS551

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