Akshara Rathod Bhukya

AI Researcher

New York City, New York, United States2 yrs 9 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Architected a chatbot reducing search time by 80%.
  • Engineered features for an LLM-based teaching assistant.
  • Mentored over 250 graduate students in ML.
Stackforce AI infers this person is a Generative AI and Machine Learning specialist with a focus on SaaS and EdTech.

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Skills

Core Skills

Retrieval-augmented Generation (rag)Ai/ml EngineeringGenerative AiTeachingMachine LearningBusiness IntelligenceData Analysis

Other Skills

Automated Machine Learning (AutoML)Chatbot DevelopmentLangChainChromaDBMLflowOpenAI embeddingsRedis vector searchMathematics for Machine LearningMentoringPython (Programming Language)Transact-SQL (T-SQL)Power BIT-SQLPythonAstrophysics

About

Patterns catch my eye, from sudoku grids to rows of unstructured data. That instinct to understand how things fit together has shaped my journey, from business intelligence to a master’s program in machine learning, and most recently, hands-on work in GenAI engineering. I work across the AI/ML stack, with a strong foundation in Python, machine learning algorithms, and NLP, and hands-on experience building production RAG systems. Most recently at KGS Technology Group, I architected a context-aware RAG chatbot that dramatically cut employee search time and became a core part of how the team accesses information. Before that, at Reality AI Lab, I built retrieval and GenAI features for Marvel AI, an LLM-powered teaching assistant, improving both retrieval quality and response latency at scale. Earlier in my career as a Business Intelligence Analyst, I turned fragmented supply chain data into dashboards that helped teams make faster, better decisions. That foundation in making data useful, not just accurate, still drives how I approach every system I build. I hold an Master's degree in Machine Learning from Stevens Institute of Technology and was honored with the Outstanding Course Assistant Award for supporting 250+ graduate students in Mathematical Foundations of ML. Whether the problem calls for a fine-tuned model, a retrieval pipeline, or a clean data insight, I am drawn to the full arc from understanding a messy problem to shipping something that holds up in production. Open to AI/ML engineering, GenAI, and data roles. Feel free to reach out, always open to a good conversation.

Experience

2 yrs 9 mos
Total Experience
1 yr 11 mos
Average Tenure
10 mos
Current Experience

Kgs technology group, inc

AI/ML Engineer

Jul 2025Present · 10 mos · Alpharetta, GA · Remote

  • ● Architected a context-aware RAG chatbot using LangChain, ChromaDB, and enterprise document indexing, deployed to 50+ employees, achieving sub-1.2s mean query latency and reducing average manual search time from 5 minutes to under 60 seconds, an 80% reduction measured via usage logs
  • ● Researched and evaluated 15+ emerging LLM frameworks including LlamaIndex, DSPy, AutoGen, and CrewAI, and developed 3 GenAI proof-of-concepts covering a chat copilot, a document Q&A workflow, and a task automation agent, to accelerate company-wide AI adoption while establishing prompt safety and governance guidelines
  • ● Designed automated ML validation pipelines using MLflow experiment tracking and AutoML retraining triggers, reducing model validation time and minimizing silent model degradation in a 24/7 production environment
Automated Machine Learning (AutoML)Chatbot DevelopmentRetrieval-Augmented Generation (RAG)AI/ML Engineering

Reality ai lab

Generative AI Engineer

Aug 2024Jul 2025 · 11 mos · Remote

  • ● Engineered RAG-powered features for Marvel AI, an LLM-based teaching assistant, including a topic-based quiz generator and a PPT builder, using LangChain agents and LlamaIndex for multi-format document parsing across PDF, DOCX, and HTML formats, processing over 3 GB of course material across multiple document types
  • ● Upgraded retrieval from BM25 keyword search to hybrid semantic and topic-based retrieval using OpenAI embeddings with Redis vector search and structured knowledge graphs, boosting mean reciprocal rank by 25% and cutting P95 response latency from 3.2s to 2.1s
  • ● Deployed scalable GenAI microservices on GCP Cloud Run via FastAPI containers, achieving 98.6% uptime, and used LangSmith for prompt regression testing, measurably reducing output hallucination rate in production
Generative AIRetrieval-Augmented Generation (RAG)AI/ML Engineering

Stevens institute of technology

Graduate Teaching Assistant - Mathematical Foundations of Machine Learning

Jan 2023May 2024 · 1 yr 4 mos · Hoboken, NJ · On-site

  • ● Mentored over 250 graduate students across three semesters in probability, linear algebra, and optimization, simplifying complex concepts and bridging theory with practical ML applications
  • ● Conducted interactive review sessions and created supplemental study materials, providing personalized support and improving student engagement through weekly office hours
  • ● Honored with Outstanding Course Assistant Award for exceptional teaching support and impact among 30+ assistants.
Mathematics for Machine LearningMentoringTeachingMachine Learning

Naxxatra sciences and collaborative research

Summer Project Intern

Jun 2021Jul 2021 · 1 mo · India · Remote

  • ● Collaborated with a team of 10 on a theoretical research project exploring high-energy astronomical phenomena including supernovae and gamma-ray bursts, driven by a personal interest in astrophysics and the instrumentation behind large-scale astronomical observation
AstrophysicsObservational Astronomy

Ekdham

Business Intelligence Analyst

Jan 2021Dec 2022 · 1 yr 11 mos · Hyderabad · On-site

  • ● Designed and automated a scalable inventory planning system using T-SQL and interactive Power BI dashboards, enabling real-time tracking of 8 supply chain KPIs across 50+ B2B clients and reducing inventory waste by 28% through data-backed procurement recommendations and cross-functional alignment
  • ● Analyzed purchasing patterns using Python-driven workflows, identifying behavioral anomalies across client segments that informed dynamic pricing strategies and drove a 15% uplift in average order value
Python (Programming Language)Transact-SQL (T-SQL)Business IntelligenceData Analysis

Education

Stevens Institute of Technology

Master of Science - MS — Machine Learning

Aug 2022May 2024

Visvesvaraya National Institute of Technology

Bachelor of Technology - BTech — Electronics and Communication Engineering

Jan 2017Jan 2021

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