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AI Engineer with 2+ years in agentic systems, computer vision, and LLM inference.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI/ML Engineer with 2+ years of experience building and deploying production-grade agentic systems and computer vision models. Specialized in latency-optimized inference (vLLM, 8-bit quantization) and multi-agent orchestration via MCP and LangGraph. Ships models from raw datasets (histopathology, PubMedVQA) to dockerized AWS deployments.
Keshav Memorial Institute of Technology (KMIT), Hyderabad
B.Tech · Artificial Intelligence and Machine Learning
August 1, 2021 – June 30, 2025
Alignbits LLC
AI Engineer
October 1, 2025 – Present
India
Park Intelli Solutions
Contract AI Engineer
September 1, 2024 – March 1, 2025
India
Digiclinics
AI / ML Intern
February 1, 2024 – October 1, 2024
Hyderābād, Telangana, India
AI Math Tutor – Agentic RAG Application
June 27, 2026 – Present
LangGraph agent over GSM8K in Qdrant with hybrid retrieval (dense + BM25) and rank fusion; served via FastAPI + React. Added guardrails for unsafe input and an MCP-based web-search fallback; LLM via LLaMA 4 on SambaNova.
View ProjectSynthetic Data Generation & Augmentation Platform
June 27, 2026 – Present
Unified PyTorch pipeline across modalities to solve the low-data problem — CTGAN (tabular synthesis), StyleGAN3 (image synthesis), ESRGAN (image super-resolution). Major academic project.
Generative AI with LLMs
DeepLearning.AI (Coursera)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from agentic RAG applications to synthetic data generation and computer vision tasks, indicates a broad interest and adaptability within the AI/ML domain. The experience across different company types (startup, contract, internship) and academic projects suggests a proactive and versatile individual. The focus on practical, deployable solutions aligns with a results-oriented culture. The target role of 'AI Engineer' is a strong match for the candidate's demonstrated skills and experience.
Soft Skills & Operational Fit
The candidate's resume indicates a strong focus on practical application and problem-solving, evidenced by projects addressing low-data problems and real-world use cases like IT ticketing chatbots and logistics data interchange. The descriptions suggest an ability to work independently and deliver tangible results, which aligns well with operational effectiveness. The academic background in AI/ML further solidifies a foundational understanding.