Shekhar Meena

AI Researcher

Jaipur, Rajasthan, India2 yrs 5 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in AI research and engineering.
  • Proven track record in developing scalable ML models.
  • Strong background in Generative AI and NLP applications.
Stackforce AI infers this person is a skilled AI researcher with expertise in machine learning and generative AI applications.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Generative AiMachine Learning

Other Skills

PyTorchPrompt EngineeringFastAPILarge Language Model Operations (LLMOps)Streaming MediaSoftware InfrastructureSoftware DesignSoftware IndustryMicrosoft AzureAWS SageMakerImage ProcessingGoogle Cloud Platform (GCP)Large Language Models (LLM)Data ManipulationPlotly

About

An Artificial intelligence researcher, on a quest to find answers to life’s most fundamental questions. My goal is to use ai to solve social economic, healthcare problems.

Experience

2 yrs 5 mos
Total Experience
1 yr 2 mos
Average Tenure
1 yr 3 mos
Current Experience

Teeoff technologies

2 roles

Lead Artificial Intelligence Research Engineer

Promoted

Mar 2026Present · 2 mos · Gurugram · On-site

  • Leading end-to-end AI research and engineering for real-time intelligent systems.
  • Built and optimized low-latency AI pipelines for speech and conversational systems
  • Developed scalable ML models for production-grade applications
  • Worked on real-time STT/TTS systems and LLM-based solutions
  • Improved system performance, efficiency, and deployment workflows
  • Provided technical leadership and guided AI strategy across projects
Artificial Intelligence (AI)PyTorch

Artifcial Intelligence Research Engineer

Feb 2025Mar 2026 · 1 yr 1 mo · Gurugram · On-site

Artificial Intelligence (AI)Machine Learning

Multitv

Software Engineer Research and Development(Artificial Intelligence)

Nov 2023Jan 2025 · 1 yr 2 mos · Gurugram, Haryana, India · On-site

  • At Multitv, I contribute to cutting-edge R&D projects focused on AI and cloud solutions. My key achievements include developing advanced document retrieval systems with OpenAI GPT-based LLMs, enabling seamless news clip retrieval with GCP's Gemini LLM, and leading innovative applications in Computer Vision and NLP for sports highlight generation and advertising campaigns. These efforts have consistently optimized workflows, boosted engagement, and enhanced productivity across domains
Generative AIArtificial Intelligence (AI)

Ineuron.ai

Internship Experience Letter

Jun 2023Aug 2023 · 2 mos · India · Remote

  • 🔍 **Insurance Premium Prediction Project Overview** 💼
  • During my iNeuron internship, I tackled the intricate landscape of Insurance Premium Prediction. This venture encompassed deep exploration, precise preprocessing, model refinement, and creation of vital project artifacts.
  • 1. Exploratory Data Analysis (EDA):** Through visualizations and statistics, I unveiled hidden patterns, outliers, and correlations, laying the groundwork for data-driven insights.
  • 2. Data Preprocessing:** Cleaning, handling missing values, and encoding categorical variables formed the robust base for subsequent modeling.
  • 3. Regression Model Selection:** I experimented with various regression models on a clean dataset, identifying the most promising ones. Fine-tuning and cross-validation optimized predictive accuracy.
  • 4. Model Persistence:** The best model emerged from iterative efforts. I persisted it for seamless future integration and deployment.
  • 5. Documentation:** Precise documentation included a high-level design document for objectives, a low-level design document for technical insights, and architecture & wireframe documents for project structure.
  • 6. Insights and Impact:** This project empowered insurers with insights for informed premium pricing decisions. The predictive model optimized risk assessment and strategy, benefiting both the company and policyholders.
  • Insurance Premium Prediction Explanation:**
  • Insurance premium prediction estimates payments for coverage. Insurers leverage data to calculate premiums, aligning with potential risks. Predictive models, using ML algorithms, analyze historical data to forecast future claims and costs. Accurate predictions balance financial risks, enabling competitive pricing and fair coverage.
  • This journey cultivated holistic problem-solving. I'm proud of gained skills, conquered challenges, and amassed knowledge. The project propels my growth in data science and predictive modeling.
Prompt EngineeringMachine Learning

Education

Rajasthan Technical University, Kota

Bachelor of Technology - BTech — computer science engineering

Aug 2017Sep 2021

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