Vijay

Vijay

+•• ••••• •••••••••••@•••••.com

6.3 yrs

  • Hyderabad
  • Open to Hyderabad · Bangalore
  • Hybrid, On-site, Remote

Ask about Vijay

Skills

Claimed

AI Solution ImplementationModel Fine-TuningData PreprocessingCollaborative FilteringText PreprocessingCosine SimilarityText Feature ExtractionRecommendation Feature DevelopmentModel Performance ImprovementNLP Text AnalysisDeep LearningCRUD Operations

Proof of Experience

Artificial Intelligence Engineer

ShimentoX Technologies · Jul 2025 – Jun 2026

  • Got oppertunity to Build & Optimize AI Agents in an Agentic AI environment.
  • ● Built agent orchestration frameworks to coordinate specialized agents through hierarchical and event-driven patterns, incorporating governance guardrails, state management, and human-in-the-loop (HITL) controls for critical decision points.
  • Along with MCP tool integrations.
  • ● Engineered and optimized agent workflows using structured prompting, context management, grounding, and validation mechanisms to improve answer accuracy, reduce hallucinations, and ensure reliable task completion across customer-facing interactions. ● Delivered measurable performance gains by reducing token consumption by 50% and end-to-end latency by 30–40% through memory-aware orchestration and efficient agent design, resulting in approximately 50% improvement in contextual response relevance.
  • Got a Chance to Integrate Generative AI features in web applications using all the Tools and frameworks required.

AI Engineer

Saludsa · Jul 2025 – Jun 2026

  • Architected and deployed multi-agent AI systems for a leading healthcare enterprise in Ecuador, designing role-based workflows using the Plan–Reason-Act-Reflect (PRAR) framework with autonomous planning, reasoning, memory, and task execution capabilities.
  • Built agent orchestration frameworks to coordinate specialized agents through hierarchical and event-driven patterns, incorporating governance guardrails, state management, and human-in-the-loop (HITL) controls for critical decision points.
  • Engineered and optimized agent workflows using structured prompting, context management, grounding, and validation mechanisms to improve answer accuracy, reduce hallucinations, and ensure reliable task completion across customer-facing interactions.
  • Delivered measurable performance gains by reducing token consumption by 50% and end-to-end latency by 30–40% through memory-aware orchestration and efficient agent design, resulting in approximately 50% improvement in contextual response relevance.

AI Engineer

Kore AI (ShimentoX) · Jul 2025 – Jun 2026

  • Streamlined a Multi-Tenent, Production-Grade AI System that transforms the full meeting lifecycle- Pre-Meeting Doc Summarizing, In-Meeting AI-Assistance & Post-Meeting decision extraction into an automated Intelligence workflow.
  • Build an end-to-end RAG Pipeline leveraging the capabilities of LangGraph with FastAPI and Milvus (VDB) along with semantic chunking and multi-lingual embedding, achieving >90% grounded response accuracy across large unstructured datasets.
  • Implemented a real-time AI-Assistant using WebSockets + STT/TTS tools enabling live meeting support with <2s Latency, including contextual Q&A, risk detection and dynamic retrieval.
  • Engineered post-meeting Intelligence pipelines to auto-generate structured summaries, decisions and action items with ownership tracking, reducing manual effort by 80%.
  • Worked in securing multi-tenant architecture(JWT,PII masking, tenant-isolated vector search) and deployed scalable microservices using Docker + Kubernetes, Cloud-native AI platform capable of handling thousands of concurrent users.
  • Delivered measurable impact achieving ~95% faster information retrieval, 60-70% reduction in prep effort, 30-50% faster decision-making and ~60-70% reduction in LLM costs through caching and optimization.

Generative AI Associate

Capital Technologies Limited · Sep 2024 – Jul 2025

  • Developed ANA, an AI-powered Retrieval Augmented Generation (RAG) chatbot enabling document-grounded, context-aware customer support using Python, FastAPI, LangChain, Pinecone, AWS S3, Redis, and Amazon Textract.
  • Built a document intelligence pipeline incorporating OCR, document chunking, embeddings, vector search, confidence scoring, and fallback mechanisms, achieving 80–90% response accuracy and reducing hallucinations.
  • Designed and implemented a multi-tenant, secure architecture with JWT authentication, RBAC, metadata filtering, and scalable knowledge retrieval for enterprise-grade support automation.
  • Optimized system performance through caching, streaming, asynchronous processing, achieving <3-second latency, 24/7 availability, and up to 90% faster response times.
  • Delivered measurable business impact, including 70-90% support cost reduction, 20–40% improvement in CSAT, 10–25% increase in conversion rates, and 50% faster issue resolution.
Learnbay

Data Science Intern

Learnbay · Feb 2024 – Sep 2024

  • Streamlined An Empathetical AI for Sentiment Analysis of Cancer & Caregivers in Healthcare Domain, leading to a 40% increase in customer satisfaction scores.
  • Implemented advanced machine learning algorithms to enhance empathetic responses and improve customer engagement.
  • The model focuses on understanding and analyzing emotions by recognizing concern, empathy, and attention, suggesting a caring approach in the application of AI.
  • Achieved a 96% accuracy rate in Analyzing the Sentiment of given text data by developing through NLP packages.
  • This model was tested in real-time, and the outcomes showed a 25% increase in morale boost and satisfaction among cancer patients and their caregivers.

Data Science Intern

Learnvista Pvt Ltd · Feb 2024 – Sep 2024

  • Streamlined An Empathetical AI for Sentiment Analysis of Cancer & Caregivers in Healthcare Domain, leading to a 40% increase in customer satisfaction scores.
  • Implemented advanced machine learning algorithms to enhance empathetic responses and improve customer engagement.
  • The model focuses on understanding and analyzing emotions by recognizing concern, empathy, and attention, suggesting a caring approach in the application of AI.
  • The core objective of the model is to understand and respond to human emotions, enabling more empathic and human-like interactions.
  • Achieved a 96% accuracy rate in Analyzing the Sentiment of given text data by developing through NLP packages.
  • This model was tested in real-time, and the outcomes showed a 25% increase in morale boost and satisfaction among cancer patients and their caregivers.

SOFTWARE ENGINEER

9Pack Software Solutions · Jun 2022 – Jan 2024

  • Designed and developed an e-commerce website from scratch using React.js, a JavaScript framework, following the Agile approach.
  • Monitored team of Web developers, guiding on best practices in coding and troubleshooting, while building the Website, by adopting different approaches for different kinds of Issues.
  • Collaborated with 2+ cross-functional teams to gather requirements, define project features implementation, and ensure alignment with business objectives, fostering effective teamwork and project success.
  • Applied state-of-the-art deep learning and NLP techniques, including BoW, Cosine similarity, and tokenization, to enhance model performance, Achieving a 98% accuracy rate in Recommending Tools and suggesting suitable individuals who are good with their own skills close to the customers.
  • Implemented process improvements and automation solutions, resulting in 15% increase in productivity.
  • Produced 15+ comprehensive reports and presentations summarizing findings and recommendations, facilitating clear communication with stakeholders and driving actionable outcomes.

SOFTWARE ENGINEER INTERN

BRN Infotech · Jan 2022 – May 2022

  • Developed and maintained responsive, user-centric e-commerce web applications, enabling seamless browsing, product discovery, cart management, and checkout experiences for both physical and digital products.
  • Implemented reusable UI components, optimized user journeys, and integrated secure payment gateways and third-party APIs to deliver scalable, high-performance online retail experiences comparable to leading e-commerce.

ASST ENGINEER

Private Registered Contractor · Jan 2020 – Dec 2021

  • Worked as Assistant Engineer in the construction of a check dam across the Manair River at Gambhiraopet, Rajanna Siricilla District, Telangana.
  • This ambitious project was designed under the leadership of the state government's prestigious irrigation movement, This scheme was aimed to renovate 46,531 tanks and lakes, storing 265 TMC water across the state.
  • It aimed to provide water to nearby 10+ villages, boosting economic activity in the region and restoring groundwater levels.
  • Worked as a Site Engineer in Construction of Swimming Facility, constructing different facilities like, Registration, Reception, Changing rooms, Office space, Underground Balancing Tank, Water Pumping at RFCL-Ramagundam.
Pennar Industries Limited

Steel Structures Design Intern

Pennar Industries Limited · Feb 2019 – Apr 2019

  • Designed Pre-Engineered Buildings in Steel Structures.
  • Using Staad Pro Application.

Proof-of-Work

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Proof of Education

Bachelor of Technology, Civil Engineering

Sphoorthy engineering College, affiliated to JNTU-H · 2015 — 2019

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