Akshat Gaur

Software Engineer

Noida, Uttar Pradesh, India1 yr 4 mos experience

AI EnabledAI ML Practitioner

Key Highlights

4+ years of experience in AI and automation.
Expert in building scalable AI solutions.
Proven track record in enhancing operational efficiency.

Stackforce AI infers this person is a SaaS expert specializing in AI-driven solutions for recruitment and operational efficiency.

Contact

Skills

Core Skills

Ai AgentsGenerative AiArtificial Intelligence (ai)Machine Learning

Other Skills

AlgorithmsBusiness AnalysisBusiness AnalyticsC (Programming Language)C++Computer EthicsComputer ScienceData AnalysisData AnalyticsData LoadingData PipelinesData ScienceData VisualizationEDAEasily Adaptable

About

I craft AI systems that don’t just solve problems — they outwork the clock. With 4+ years of experience across Gen AI, RAG systems, and autonomous agents, I’ve built solutions that scale from recruitment AI and real-time parking management to customer support bots and fraud detection. Currently at Occams Advisory, I’m pushing the edge of AI with RAG-based chatbots, LLM fine-tuning, and advanced prompt engineering. Before this, I led recruitment automation at Aspireit, and designed scalable agent-based systems at Productive Cloud Innovations LLC, cutting response times and boosting efficiency for high-impact use cases. Fluent in Python, PyTorch, TensorFlow, and cloud ecosystems, I’m passionate about turning raw ideas into AI agents that adapt, automate, and deliver real results.

Experience

Occams advisory

Software Engineer

Jun 2025 – Present · 9 mos · On-site

Terra technologies private ltd

Software Consultant

Jan 2025 – Jun 2025 · 5 mos · Remote

Spearheaded the development of autonomous recruitment AI agents, boosting candidate match quality and screening automation by
30%.
Designed modular pipelines using PyTorch and LangChain, integrating vector DBs (Pinecone) for scalable candidate recommendation
systems.
Applied prompt engineering for dynamic query handling, enhancing NLP model response accuracy.

Python (Programming Language)LangChainRAGNatural Language Processing (NLP)Data AnalysisAI Agents+1

Aspireit

Artificial Intelligence Engineer

May 2024 – Dec 2024 · 7 mos · Remote

Optimized machine learning models using TensorFlow and PyTorch, achieving a 20% efficiency boost.
Enhanced data pipelines with Scikit-learn, improving data quality by 25%.
Integrated Google Cloud services to improve scalability and robustness by 30%.
Designed predictive models and reinforcement learning systems, improving decision accuracy and adaptability.
Delivered AI solutions on time by collaborating with cross-functional teams.

Natural Language Processing (NLP)Generative AIMachine LearningArtificial Intelligence (AI)LangChainRAG

Soven developer

Artificial Intelligence Intern

Feb 2024 – Apr 2024 · 2 mos · United States · Remote

Natural Language Processing (NLP)Recommender SystemsData AnalysisGenerative AIPredictive AnalyticsData Science+2

Productive cloud innovations

Artificial Intelligence Consultant

Jan 2022 – Jan 2025 · 3 yrs · Remote

Developed a real-time parking management system using RAG and vector databases, integrating MongoDB Atlas for dynamic recommendations and improving urban parking efficiency.
Implemented AI-driven autonomous agents to automate workflows and enable real-time decision-making, enhancing resource allocation and operational efficiency.
Designed AI bots with advanced NLU and vector database integration, providing 24/7 support, reducing response times, and achieving high accuracy in customer interactions.
Automated repetitive tasks like scheduling and data retrieval, streamlining workflows, improving productivity, and reducing manual errors.

Python (Programming Language)Artificial Intelligence (AI)AI AgentsSoftware Solution ArchitectureGenerative AI